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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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The graphs summarize 2250 occurrences of 1113 keywords
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Results
Found 5151 publication records. Showing 5135 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
84 | Harry Zhang, Liangxiao Jiang, Jiang Su |
Augmenting naive Bayes for ranking. |
ICML |
2005 |
DBLP DOI BibTeX RDF |
|
81 | Víctor Robles, Pedro Larrañaga, José M. Peña 0002, María S. Pérez 0001, Ernestina Menasalvas Ruiz, Vanessa Herves |
Learning Semi Naïve Bayes Structures by Estimation of Distribution Algorithms. |
EPIA |
2003 |
DBLP DOI BibTeX RDF |
Naïve Bayes, semi Naïve Bayes, heuristic search, estimation of distributions algorithms |
73 | Frederick D. Garber, Abdelhamid Djouadi |
Bounds on the Bayes Classification Error Based on Pairwise Risk Functions. |
IEEE Trans. Pattern Anal. Mach. Intell. |
1988 |
DBLP DOI BibTeX RDF |
Bayes classification error, pairwise risk functions, composite-hypothesis classification, pairwise Bayes risk, pattern recognition, pattern recognition, lower bounds, upper bounds, decision theory, Bayes methods, error statistics |
68 | Liangxiao Jiang, Harry Zhang, Zhihua Cai |
A Novel Bayes Model: Hidden Naive Bayes. |
IEEE Trans. Knowl. Data Eng. |
2009 |
DBLP DOI BibTeX RDF |
|
64 | Oliver Schulte, Wei Luo 0001, Russell Greiner |
Mind Change Optimal Learning of Bayes Net Structure. |
COLT |
2007 |
DBLP DOI BibTeX RDF |
|
64 | Liangxiao Jiang, Harry Zhang |
Learning Naive Bayes for Probability Estimation by Feature Selection. |
Canadian AI |
2006 |
DBLP DOI BibTeX RDF |
|
64 | Liangxiao Jiang, Harry Zhang |
Learning Instance Greedily Cloning Naive Bayes for Ranking. |
ICDM |
2005 |
DBLP DOI BibTeX RDF |
|
64 | Harry Zhang, Shengli Sheng |
Learning Weighted Naive Bayes with Accurate Ranking. |
ICDM |
2004 |
DBLP DOI BibTeX RDF |
|
64 | Nahla Ben Amor, Salem Benferhat, Zied Elouedi |
Naive Bayes vs decision trees in intrusion detection systems. |
SAC |
2004 |
DBLP DOI BibTeX RDF |
|
64 | Ran Gilad-Bachrach, Amir Navot, Naftali Tishby |
Bayes and Tukey Meet at the Center Point. |
COLT |
2004 |
DBLP DOI BibTeX RDF |
|
64 | Fuchun Peng, Dale Schuurmans |
Combining Naive Bayes and n-Gram Language Models for Text Classification. |
ECIR |
2003 |
DBLP DOI BibTeX RDF |
|
63 | Zhipeng Xie, Wynne Hsu, Zongtian Liu, Mong-Li Lee |
SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning. |
PAKDD |
2002 |
DBLP DOI BibTeX RDF |
Naïve Bayes, Classification, Lazy Learning |
61 | Carlos Bustamante, Leonardo Garrido, Rogelio Soto |
Comparing Fuzzy Naive Bayes and Gaussian Naive Bayes for Decision Making in RoboCup 3D. |
MICAI |
2006 |
DBLP DOI BibTeX RDF |
|
61 | Jiacheng Zheng, Yongchuan Tang |
One Generalization of the Naive Bayes to Fuzzy Sets and the Design of the Fuzzy Naive Bayes Classifier. |
IWINAC (2) |
2005 |
DBLP DOI BibTeX RDF |
|
60 | Song Chun Zhu, Tai Sing Lee, Alan L. Yuille |
Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation. |
ICCV |
1995 |
DBLP DOI BibTeX RDF |
multiband image segmentation, variational principle, Bayes/MDL, boundary location, region competition algorithm, colour segmentation, optimize, image segmentation, edge detection, statistical analysis, Bayes methods, image texture, Minimum Description Length, color images, snakes, region growing, image colour analysis, texture segmentation, texture images, statistical approach, Bayes, statistical properties, region competition, grey level images |
60 | Evan Tick, Bruce D'Ambrosio |
Evaluating Bayes nets with concurrent process networks. |
IPPS |
1995 |
DBLP DOI BibTeX RDF |
Bayes nets, concurrent process networks, total probability mass, leaf node, general Bayes network, ancestor nodes, high mass minterms, partial minterms, child nodes, KL1, parallel algorithms, computational complexity, computation complexity, probability, message passing, directed graphs, directed acyclic graphs, search problems, Bayes methods, conditional probabilities, concurrent algorithm |
60 | Ljubomir J. Buturovic |
Toward Bayes-Optimal Linear Dimension Reduction. |
IEEE Trans. Pattern Anal. Mach. Intell. |
1994 |
DBLP DOI BibTeX RDF |
Bayes optimal linear dimension reduction, multidimensional vectors, low dimensional space, Bayes error estimation, pattern recognition, probability, optimisation, optimisation, statistical analysis, Bayes methods, estimation theory, statistical pattern recognition, k-nearest neighbour, probability density |
59 | Qingxiang Wu, David A. Bell, T. Martin McGinnity, Girijesh Prasad, Guilin Qi, Xi Huang |
Improvement of Decision Accuracy Using Discretization of Continuous Attributes. |
FSKD |
2006 |
DBLP DOI BibTeX RDF |
Naive Bayes Cassifier, Classification, Decision-making, Discretizer |
57 | Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su |
One Dependence Augmented Naive Bayes. |
ADMA |
2005 |
DBLP DOI BibTeX RDF |
|
57 | Víctor Robles, Pedro Larrañaga, José M. Peña 0002, Ernestina Menasalvas Ruiz, María S. Pérez 0001 |
Interval Estimation Naïve Bayes. |
IDA |
2003 |
DBLP DOI BibTeX RDF |
|
56 | Helge Langseth, Thomas D. Nielsen |
Classification using Hierarchical Naïve Bayes models. |
Mach. Learn. |
2006 |
DBLP DOI BibTeX RDF |
Naïve Bayes models, Classification, Hierarchical models |
56 | Dawei Liang, Qingming Huang, Wen Gao 0001, Hongxun Yao |
Online Selection of Discriminative Features Using Bayes Error Rate for Visual Tracking. |
PCM |
2006 |
DBLP DOI BibTeX RDF |
Feature Selection, Visual Tracking, Bayes Error Rate |
56 | Aleksander Kolcz |
Local sparsity control for naive Bayes with extreme misclassification costs. |
KDD |
2005 |
DBLP DOI BibTeX RDF |
high recall classification, feature selection, text categorization, naive Bayes |
56 | João Gama 0001, Gladys Castillo |
Adaptive Bayes. |
IBERAMIA |
2002 |
DBLP DOI BibTeX RDF |
Adaptive Bayes, Incremental Systems, Machine Learning, User Modeling |
55 | G. Niklas Norén, Roland Orre |
Case Based Imprecision Estimates for Bayes Classifiers with the Bayesian Bootstrap. |
Mach. Learn. |
2005 |
DBLP DOI BibTeX RDF |
case based imprecision estimates, Bayesian bootstrap, naive Bayes, Bayes classifier |
53 | Mori Kurokawa, Hiroyuki Yokoyama, Akito Sakurai |
Averaged Naive Bayes Trees: A New Extension of AODE. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
augmented naive Bayes, averaged one-dependence estimators, naive Bayes trees, model averaging, naive Bayes |
51 | Limin Wang, Senmiao Yuan, Ling Li, Haijun Li |
Improving the Performance of Decision Tree: A Hybrid Approach. |
ER |
2004 |
DBLP DOI BibTeX RDF |
Flexible NBTree, Bayes measure, General Naive Bayes, post-discretization |
50 | Shaoping Wang, Jian Shi, Mileta M. Tomovic |
Fault Isolation Based on Subjective Bayes' Reasoning for Redundant Actuation System. |
RAM |
2008 |
DBLP DOI BibTeX RDF |
|
50 | Frank Klawonn, Plamen P. Angelov |
Evolving Extended Naive Bayes Classifiers. |
ICDM Workshops |
2006 |
DBLP DOI BibTeX RDF |
|
50 | Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su |
Learning Tree Augmented Naive Bayes for Ranking. |
DASFAA |
2005 |
DBLP DOI BibTeX RDF |
data mining and knowledge discovery, Bayesian networks, decision trees, learning algorithms |
50 | Liangxiao Jiang, Harry Zhang, Jiang Su |
Learning k-Nearest Neighbor Naive Bayes for Ranking. |
ADMA |
2005 |
DBLP DOI BibTeX RDF |
|
50 | Baoyi Wang, Shaomin Zhang |
A Novel Text Classification Algorithm Based on Naïve Bayes and KL-Divergence. |
PDCAT |
2005 |
DBLP DOI BibTeX RDF |
|
50 | João Gama 0001 |
A Linear-Bayes Classifier. |
IBERAMIA-SBIA |
2000 |
DBLP DOI BibTeX RDF |
|
49 | Congle Zhang, Gui-Rong Xue, Yong Yu 0001, Hongyuan Zha |
Web-scale classification with naive bayes. |
WWW |
2009 |
DBLP DOI BibTeX RDF |
web-scale taxonomy, naive bayes |
49 | Siwei Jiang, Zhihua Cai |
Improve the Accuracy of One Dependence Augmented Naive Bayes by Weighted Attribute. |
ISICA |
2008 |
DBLP DOI BibTeX RDF |
selective attribute, weighted attribute, classification, support vector machine, Naive Bayes |
49 | Pilsung Choe, Mark R. Lehto, Jan P. Allebach |
Self-help Troubleshooting by Q-KE-CLD Based on a Fuzzy Bayes Model. |
HCI (8) |
2007 |
DBLP DOI BibTeX RDF |
fuzzy Bayes model, Q-KE-CLD, cross language diagnosis, search, diagnosis, translation, parsing, cross language information retrieval, CLIR, troubleshooting, lexical analysis |
49 | José Carlos Cortizo, J. Ignacio Giráldez, Maria Cruz Gaya |
Wrapping the Naive Bayes Classifier to Relax the Effect of Dependences. |
IDEAL |
2007 |
DBLP DOI BibTeX RDF |
DGW, (In)Dependence Assumption, Wrapper, Naive Bayes, Feature Evaluation and Selection |
49 | José Carlos Cortizo, J. Ignacio Giráldez |
Multi Criteria Wrapper Improvements to Naive Bayes Learning. |
IDEAL |
2006 |
DBLP DOI BibTeX RDF |
(In)Dependent Attributes, Data Mining, Machine Learning, Data Analysis, Wrapper, Naive Bayes, Feature Subset Selection |
49 | Kwong H. Yung |
Using Self-Consistent Naive-Bayes to Detect Masquerades. |
PAKDD |
2004 |
DBLP DOI BibTeX RDF |
self-consistent naive-Bayes, intrusion detection, anomaly detection, expectation-maximization algorithm, semisupervised learning, masquerade detection |
48 | Dharma Thiruvaiyaru, Ishwar V. Basawa |
Empirical Bayes estimation for queueing systems and networks. |
Queueing Syst. Theory Appl. |
1992 |
DBLP DOI BibTeX RDF |
Bayes procedures, empirical Bayes estimators, Markovian queues, networks of queues, maximum likelihood estimation |
45 | Ming-Wei Chang, Wen-tau Yih, Christopher Meek |
Partitioned logistic regression for spam filtering. |
KDD |
2008 |
DBLP DOI BibTeX RDF |
email spam filtering, logistic regression, naive bayes |
44 | Dino Isa, Lam Hong Lee, V. P. Kallimani, Rajprasad Rajkumar |
Text Document Preprocessing with the Bayes Formula for Classification Using the Support Vector Machine. |
IEEE Trans. Knowl. Data Eng. |
2008 |
DBLP DOI BibTeX RDF |
|
44 | B. Chandra 0001, Manish Gupta 0005, M. P. Gupta 0001 |
Robust Approach for Estimating Probabilities in Naive-Bayes Classifier. |
PReMI |
2007 |
DBLP DOI BibTeX RDF |
|
44 | Jan-Nikolas Sulzmann, Johannes Fürnkranz, Eyke Hüllermeier |
On Pairwise Naive Bayes Classifiers. |
ECML |
2007 |
DBLP DOI BibTeX RDF |
|
44 | Zhong Jin, Franck Davoine, Zhen Lou, Jing-Yu Yang 0001 |
A Novel PCA-Based Bayes Classifier and Face Analysis. |
ICB |
2006 |
DBLP DOI BibTeX RDF |
|
44 | Aleksander Kolcz, Abdur Chowdhury |
Improved Naive Bayes for Extremely Skewed Misclassification Costs. |
PKDD |
2005 |
DBLP DOI BibTeX RDF |
|
44 | Liangxiao Jiang, Harry Zhang, Jiang Su |
Instance Cloning Local Naive Bayes. |
Canadian AI |
2005 |
DBLP DOI BibTeX RDF |
|
44 | Manuel Martínez-Morales, Nicandro Cruz-Ramírez, José Luis Jiménez-Andrade, Ramiro Garza-Domínguez |
Bayes-N: An Algorithm for Learning Bayesian Networks from Data Using Local Measures of Information Gain Applied to Classification Problems. |
MICAI |
2004 |
DBLP DOI BibTeX RDF |
data mining, machine learning, classification, Bayesian networks, MDL |
44 | João Gama 0001 |
Iterative Naive Bayes. |
Discovery Science |
1999 |
DBLP DOI BibTeX RDF |
|
43 | Jing-Hao Xue, D. M. Titterington |
Comment on "On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes". |
Neural Process. Lett. |
2008 |
DBLP DOI BibTeX RDF |
Asymptotic relative efficiency, Discriminative classifiers, Generative classifiers, Normal-based discriminant analysis, Naïve Bayes classifier, Logistic regression |
43 | Liwei Fan, Kim Leng Poh |
A Comparative Study of PCA, ICA and Class-Conditional ICA for Naïve Bayes Classifier. |
IWANN |
2007 |
DBLP DOI BibTeX RDF |
Naïve Bayes Classifier, Classification, Bayesian Network, Independent Component Analysis, Principle Component Analysis |
43 | Liangxiao Jiang, Dianhong Wang, Zhihua Cai, Xuesong Yan |
Survey of Improving Naive Bayes for Classification. |
ADMA |
2007 |
DBLP DOI BibTeX RDF |
structure extension, data expansion, classification, feature selection, naive Bayes, local learning, Bayesian network classifiers |
43 | Sang-Bum Kim, Kyoung-Soo Han, Hae-Chang Rim, Sung-Hyon Myaeng |
Some Effective Techniques for Naive Bayes Text Classification. |
IEEE Trans. Knowl. Data Eng. |
2006 |
DBLP DOI BibTeX RDF |
Poisson model, Text classification, feature weighting, naive Bayes classifier |
43 | Jesús Cerquides, Ramón López de Mántaras |
Maximum a Posteriori Tree Augmented Naive Bayes Classifiers. |
Discovery Science |
2004 |
DBLP DOI BibTeX RDF |
decomposable distributions, Bayesian networks, Naive Bayes, Bayesian network classifiers, Bayesian model averaging |
43 | Darya Chudova, Padhraic Smyth |
Analysis of Pattern Discovery in Sequences Using a Bayes Error Framework. |
Data Min. Knowl. Discov. |
2003 |
DBLP DOI BibTeX RDF |
Hidden Markov model, motif discovery, Bayes error rate |
41 | Geoffrey I. Webb, Janice R. Boughton, Zhihai Wang |
Not So Naive Bayes: Aggregating One-Dependence Estimators. |
Mach. Learn. |
2005 |
DBLP DOI BibTeX RDF |
semi-naive Bayes, attribute independence assumption, naive Bayes, probabilistic prediction |
40 | João Gama 0001, Pedro Medas, Pedro Pereira Rodrigues |
Learning decision trees from dynamic data streams. |
SAC |
2005 |
DBLP DOI BibTeX RDF |
|
40 | Liangxiao Jiang, Yuanyuan Guo |
Learning Lazy Naive Bayesian Classifiers for Ranking. |
ICTAI |
2005 |
DBLP DOI BibTeX RDF |
|
40 | Harry Zhang, Jiang Su |
Naive Bayesian Classifiers for Ranking. |
ECML |
2004 |
DBLP DOI BibTeX RDF |
|
39 | Takao Kobayashi, Ikuko Shimizu |
A Linear Classification Method in a Very High Dimensional Space Using Distributed Representation. |
MLDM |
2009 |
DBLP DOI BibTeX RDF |
1-NN method, Naïve Bayes, Bagging, Locality sensitive hashing |
37 | Guoxuan Zhang, Il Hong Suh |
Integration of a prediction mechanism with a sensor model: An anticipatory Bayes filter. |
ICRA |
2009 |
DBLP DOI BibTeX RDF |
|
37 | Guoxuan Zhang, Il Hong Suh |
Mathematical modeling of the prediction mechanism of sensory processing in the context of a Bayes filter. |
IROS |
2009 |
DBLP DOI BibTeX RDF |
|
37 | Congxin Jiao, Jiangwen Sun, Chong-Jun Wang, Manwu Xu |
GAB: Graph Augmented Bayes Classifier. |
FSKD (1) |
2007 |
DBLP DOI BibTeX RDF |
|
37 | Kai-min Chang, Joseph E. Beck, Jack Mostow, Albert T. Corbett |
A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring Systems. |
Intelligent Tutoring Systems |
2006 |
DBLP DOI BibTeX RDF |
|
37 | Han Liang, Yuhong Yan |
Learning Naïve Bayes Tree for Conditional Probability Estimation. |
Canadian AI |
2006 |
DBLP DOI BibTeX RDF |
|
37 | Kim Larsen |
Generalized Naive Bayes Classifiers. |
SIGKDD Explor. |
2005 |
DBLP DOI BibTeX RDF |
|
37 | Daniel Lowd, Pedro M. Domingos |
Naive Bayes models for probability estimation. |
ICML |
2005 |
DBLP DOI BibTeX RDF |
|
37 | Bernard Rosell, Lisa Hellerstein |
Naïve Bayes with Higher Order Attributes. |
Canadian AI |
2004 |
DBLP DOI BibTeX RDF |
|
37 | Ashraf M. Kibriya, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes 0001 |
Multinomial Naive Bayes for Text Categorization Revisited. |
Australian Conference on Artificial Intelligence |
2004 |
DBLP DOI BibTeX RDF |
|
37 | Sang-Bum Kim, Hee-Cheol Seo, Hae-Chang Rim |
Poisson naive Bayes for text classification with feature weighting. |
IRAL |
2003 |
DBLP BibTeX RDF |
|
37 | Ying Yang 0001, Geoffrey I. Webb |
On Why Discretization Works for Naive-Bayes Classifiers. |
Australian Conference on Artificial Intelligence |
2003 |
DBLP DOI BibTeX RDF |
|
37 | Hiroaki Takebe, Koji Kurokawa, Yutaka Katsuyama, Satoshi Naoi |
A Learning Pseudo Bayes Discriminant Method Based on Difference Distribution of Feature Vectors. |
Document Analysis Systems |
2002 |
DBLP DOI BibTeX RDF |
|
37 | Sang-Bum Kim, Hae-Chang Rim, Dongsuk Yook, Heui-Seok Lim |
Effective Methods for Improving Naive Bayes Text Classifiers. |
PRICAI |
2002 |
DBLP DOI BibTeX RDF |
|
37 | Zdzislaw Pawlak |
The Rough Set View on Bayes' Theorem. |
AFSS |
2002 |
DBLP DOI BibTeX RDF |
|
37 | Huajie Zhang, Charles X. Ling |
An Improved Learning Algorithm for Augmented Naive Bayes. |
PAKDD |
2001 |
DBLP DOI BibTeX RDF |
|
36 | Renato D. Gomes, Kane S. Sweeney |
Bayes-nash equilibria of the generalized second price auction. |
EC |
2009 |
DBLP DOI BibTeX RDF |
bayes-nash equilibrium, generalized second price auction, position auctions, sponsored search, click-through rates |
36 | Luís Moniz Pereira, Han The Anh |
Intention Recognition via Causal Bayes Networks Plus Plan Generation. |
EPIA |
2009 |
DBLP DOI BibTeX RDF |
Causal Bayes Networks, Plan generation, P-log, ASCP, Logic Programming, Intention recognition |
36 | Arni Darliani Asy'arie, Adi Wahyu Pribadi |
Automatic news articles classification in Indonesian language by using Naive Bayes Classifier method. |
iiWAS |
2009 |
DBLP DOI BibTeX RDF |
Naïve Bayes Classifier, article, learning documents men pembelajaran, document classification, stemming |
36 | Ludmila Kuncheva, Zoë Hoare |
Error-Dependency Relationships for the Naïve Bayes Classifier with Binary Features. |
IEEE Trans. Pattern Anal. Mach. Intell. |
2008 |
DBLP DOI BibTeX RDF |
Pattern Recognition, Dependency, Naive Bayes, Classifier design and evaluation, Feature evaluation and selection |
36 | Jaideep Vaidya, Murat Kantarcioglu, Chris Clifton |
Privacy-preserving Naïve Bayes classification. |
VLDB J. |
2008 |
DBLP DOI BibTeX RDF |
Naïve Bayes, Security, Data mining, Privacy, Distributed computing |
36 | Chishe Wang, Jiaxing Cheng, Shoubao Su, Dongzhe Xu |
Identification of Interface Residues Involved in Protein-Protein Interactions Using Naïve Bayes Classifier. |
ADMA |
2008 |
DBLP DOI BibTeX RDF |
Naïve Bayes classifier, Sequence profile, Residue accessible surface area, Protein-protein interactions |
36 | Jing-Hua Guan, Dayou Liu, Si-Pei Liu |
Discrete Particle Swarm Optimization and EM Hybrid Approach for Naive Bayes Clustering. |
ICONIP (2) |
2006 |
DBLP DOI BibTeX RDF |
clustering, Naive Bayes, EM, PSO |
36 | Dominik Slezak |
Rough Sets and Bayes Factor. |
Trans. Rough Sets |
2005 |
DBLP DOI BibTeX RDF |
Rough Sets, Probabilities, Bayes Factor |
36 | Lina Zhou, Jinjuan Feng, Andrew Sears, Yongmei Shi |
Applying the Naïve Bayes Classifier to Assist Users in Detecting Speech Recognition Errors. |
HICSS |
2005 |
DBLP DOI BibTeX RDF |
error identification, Naïve Bayes classifier, Speech recognition, assistive technology, disability |
36 | Bo Wang 0002, D. M. Titterington |
Lack of Consistency of Mean Field and Variational break Bayes Approximations for State Space Models. |
Neural Process. Lett. |
2004 |
DBLP DOI BibTeX RDF |
variational EM, maximum likelihood, state space model, Kullback-Leibler divergence, mean field, variational Bayes |
36 | Dmitry Pavlov, Ramnath Balasubramanyan, Byron Dom, Shyam Kapur, Jignashu Parikh |
Document preprocessing for naive Bayes classification and clustering with mixture of multinomials. |
KDD |
2004 |
DBLP DOI BibTeX RDF |
mixture of multinomials, clustering, performance, classification, Naive Bayes, data transformations |
36 | William DuMouchel, Daryl Pregibon |
Empirical bayes screening for multi-item associations. |
KDD |
2001 |
DBLP DOI BibTeX RDF |
empirical Bayes methods, gamma-Poisson model, market basket problem, shrinkage estimation, Data Mining, Association rules, Knowledge Discovery, Statistical Models |
36 | András Antos, Luc Devroye, László Györfi |
Lower Bounds for Bayes Error Estimation. |
IEEE Trans. Pattern Anal. Mach. Intell. |
1999 |
DBLP DOI BibTeX RDF |
lower bounds, Discrimination, statistical pattern recognition, rates of convergence, nonparametric estimation, Bayes error |
35 | David G. Lowe, Andrew Webb |
Optimized Feature Extraction and the Bayes Decision in Feed-Forward Classifier Networks. |
IEEE Trans. Pattern Anal. Mach. Intell. |
1991 |
DBLP DOI BibTeX RDF |
Bayes decision, feed-forward classifier networks, multiclass pattern classification, adaptive layered networks, least-square approach, target coding, error weighting, pattern recognition, pattern recognition, feature extraction, optimisation, encoding, adaptive systems, decision theory, Bayes methods, nonlinear optimization |
33 | Ranjit Abraham, Jay B. Simha, S. S. Iyengar 0001 |
A comparative analysis of discretization methods for Medical Datamining with Naïve Bayesian classifier. |
ICIT |
2006 |
DBLP DOI BibTeX RDF |
|
33 | Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri |
On Discriminative Bayesian Network Classifiers and Logistic Regression. |
Mach. Learn. |
2005 |
DBLP DOI BibTeX RDF |
Bayesian networks, logistic regression, Bayesian classifiers, discriminative learning |
32 | Chuanliang Chen, Yunchao Gong, Rongfang Bie, Xiao Zhi Gao 0001 |
Searching for Interacting Features for Spam Filtering. |
ISNN (1) |
2008 |
DBLP DOI BibTeX RDF |
Interacting features, Naïve bayes, Feature selection, Spam filtering |
32 | Amirali Noorinaeini, Mark R. Lehto, Sze-jung Wu |
Hybrid Singular Value Decomposition: A Model of Human Text Classification. |
HCI (8) |
2007 |
DBLP DOI BibTeX RDF |
accident narratives, text classification, singular value decomposition, regression, statistical modeling, bayes |
32 | Janardhana Punuru, Jianhua Chen 0003 |
Learning for Semantic Classification of Conceptual Terms. |
GrC |
2007 |
DBLP DOI BibTeX RDF |
Concept classification, Naive Bayes Classi- fier, Text Mining |
32 | Kathleen T. Durant, Michael D. Smith 0001 |
Predicting the Political Sentiment of Web Log Posts Using Supervised Machine Learning Techniques Coupled with Feature Selection. |
WEBKDD |
2006 |
DBLP DOI BibTeX RDF |
Naïve Bayes, Support Vector Machines, feature selection, Blogs, Sentiment Classification, Web Logs, WEKA |
32 | Guanglei Liu, Chuanyi Ji, Vincent W. S. Chan |
On the scalability of network management information for inter-domain light-path assessment. |
IEEE/ACM Trans. Netw. |
2005 |
DBLP DOI BibTeX RDF |
light-path assessment, management information, scalability, decision theory, blocking probability, Bayes rule |
32 | Helge Langseth, Thomas D. Nielsen |
Latent Classification Models. |
Mach. Learn. |
2005 |
DBLP DOI BibTeX RDF |
Naïve Bayes, classification, correlation, probabilistic graphical models |
32 | Zhihai Wang, Geoffrey I. Webb, Fei Zheng 0001 |
Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory. |
PAKDD |
2004 |
DBLP DOI BibTeX RDF |
Machine Learning, Bayesian Network, Naive Bayes |
32 | Zhalaing Cheung, Khanh Linh Phan, Ashesh Mahidadia, Achim G. Hoffmann |
Feature Extraction for Learning to Classify Questions. |
Australian Conference on Artificial Intelligence |
2004 |
DBLP DOI BibTeX RDF |
feature extraction for text classification, Naïve Bayes classifier, decision tree learning, Question classification |
32 | Hongbo Shi, Zhihai Wang, Geoffrey I. Webb, Houkuan Huang |
A New Restricted Bayesian Network Classifier. |
PAKDD |
2003 |
DBLP DOI BibTeX RDF |
Classification, Bayesian Network, Naive Bayes |
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