Search results for "winnow"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
119	Harlan D. Harris	Evidence that Incremental Delta-Bar-Delta Is an Attribute-Efficient Linear Learner.	ECML	2002	DBLP DOI BibTeX RDF
111	Sharath R. Cholleti, Sally A. Goldman, Rouhollah Rahmani	MI-Winnow: A New Multiple-Instance Learning Algorithm.	ICTAI	2006	DBLP DOI BibTeX RDF
104	Qingping Tao, Stephen D. Scott 0001	Improved MCMC sampling methods for estimating weighted sums in Winnow with application to DNF learning.	Mach. Learn.	2008	DBLP DOI BibTeX RDF	Markov chain Monte Carlo, DNF, Winnow
104	Christian Siefkes, Fidelis Assis, Shalendra Chhabra, William S. Yerazunis	Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering.	PKDD	2004	DBLP DOI BibTeX RDF	FeatureRepresentation, Bigrams, Orthogonal Sparse Bigrams, Classification, Text Classification, Email, Online Learning, Incremental Learning, Spam Filtering, Feature Generation, Winnow
102	Tapio Elomaa, Jussi T. Lindgren	Experiments with Projection Learning.	Discovery Science	2002	DBLP DOI BibTeX RDF
94	Bin Wang 0004, Gareth J. F. Jones, Wenfeng Pan	Using online linear classifiers to filter spam emails.	Pattern Anal. Appl.	2006	DBLP DOI BibTeX RDF	Online linear classifier, Anti-spam filtering, Perceptron, Winnow
78	Chris Mesterharm	Tracking Linear-Threshold Concepts with Winnow.	COLT	2002	DBLP DOI BibTeX RDF
78	Vitor R. Carvalho, William W. Cohen	Single-pass online learning: performance, voting schemes and online feature selection.	KDD	2006	DBLP DOI BibTeX RDF	online learning, voting, averaging, winnow
61	Cornelis H. A. Koster, Jean Beney	On the Importance of Parameter Tuning in Text Categorization.	Ershov Memorial Conference	2006	DBLP DOI BibTeX RDF	Text Categorization, parameter tuning, automatic classification, Rocchio, Winnow
54	Florian Nigsch, John B. O. Mitchell	How To Winnow Actives from Inactives: Introducing Molecular Orthogonal Sparse Bigrams (MOSBs) and Multiclass Winnow.	J. Chem. Inf. Model.	2008	DBLP DOI BibTeX RDF
51	Claudio Gentile	The Robustness of the p-Norm Algorithms.	Mach. Learn.	2003	DBLP DOI BibTeX RDF	loss bounds, learning rate, dual norms, on-line model selection, on-line learning
51	David P. Helmbold, Sandra Panizza, Manfred K. Warmuth	Direct and Indirect Algorithms for On-line Learning of Disjunctions.	EuroCOLT	1999	DBLP DOI BibTeX RDF
44	Nikolaos Karampatziakis, Dexter Kozen	Learning prediction suffix trees with Winnow.	ICML	2009	DBLP DOI BibTeX RDF
44	John M. Hitchcock	Online Learning and Resource-Bounded Dimension: Winnow Yields New Lower Bounds for Hard Sets.	STACS	2006	DBLP DOI BibTeX RDF
44	Cornelis H. A. Koster, Marc Seutter, Jean Beney	Multi-classification of Patent Applications with Winnow.	Ershov Memorial Conference	2003	DBLP DOI BibTeX RDF
44	Jude W. Shavlik, Mark Shavlik	Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage.	KDD	2004	DBLP DOI BibTeX RDF	Winnow algorithm, machine learning, feature selection, intrusion detection, user modeling, anomaly detection, Windows 2000
34	Manfred K. Warmuth	Winnowing subspaces.	ICML	2007	DBLP DOI BibTeX RDF
34	Harith Alani, Stephen Harris, Ben O'Neil	Winnowing Ontologies Based on Application Use.	ESWC	2006	DBLP DOI BibTeX RDF
34	Slawomir Zadrozny, Janusz Kacprzyk	Bipolar Queries and Queries with Preferences.	DEXA Workshops	2006	DBLP DOI BibTeX RDF
34	Jan Chomicki	Preference formulas in relational queries.	ACM Trans. Database Syst.	2003	DBLP DOI BibTeX RDF	query optimization, relational algebra, preferences, Preference queries
34	Deepak Chawla, Lin Li, Stephen Scott 0001	Efficiently Approximating Weighted Sums with Exponentially Many Terms.	COLT/EuroCOLT	2001	DBLP DOI BibTeX RDF
27	Max Kreminski, Melanie Dickinson, Michael Mateas	Winnow: A Domain-Specific Language for Incremental Story Sifting.	AIIDE	2021	DBLP BibTeX RDF
27	A. S. Narmadha	Trust-Based Winnow Linear Multiplicative Classification For Secure Multipath Routing In Manet.	CoRR	2020	DBLP BibTeX RDF
27	Xiang Cheng, Xuan Xiao, Kuo-Chen Chou	pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information.	Bioinform.	2018	DBLP DOI BibTeX RDF
27	Hsueh-Chien Cheng, Rainer von Coelln, Ann L. Gruber-Baldini, Lisa M. Shulman, Amitabh Varshney	Winnow: Interactive Visualization of Temporal Changes in Multidimensional Clinical Data.	BCB	2017	DBLP DOI BibTeX RDF
27	Nooshin Nabizadeh, Mohsen Dorodchi, Miroslav Kubat	Automatic tumor lesion detection and segmentation using modified winnow algorithm.	ISBI	2015	DBLP DOI BibTeX RDF
27	Qiong Li, Shuming Wang, Haokun Mao, Qi Han 0002, Xiamu Niu	An Adaptive Improved Winnow Algorithm.	COMPSAC Workshops	2015	DBLP DOI BibTeX RDF
27	Eva D'hondt	Genre classification using Balanced Winnow in the DEFT 2014 challenge.	DEFT@TALN	2014	DBLP BibTeX RDF
27	Richard Marchese Robinson, Robert C. Glen, John B. O. Mitchell	Winnow based identification of potent hERG inhibitors in silico: comparative assessment on different datasets.	J. Cheminformatics	2012	DBLP DOI BibTeX RDF
27	Hao Yan, Xiang Peng, Xiaxiang Lin, Wei Jiang, Tian Liu 0001, Hong Guo	Efficiency of Winnow Protocol in Secret Key Reconciliation.	CSIE (3)	2009	DBLP DOI BibTeX RDF
27	Florian Nigsch, Andreas Bender 0002, Jeremy L. Jenkins, John B. O. Mitchell	Ligand-Target Prediction Using Winnow and Naive Bayesian Algorithms and the Implications of Overall Performance Statistics.	J. Chem. Inf. Model.	2008	DBLP DOI BibTeX RDF
27	Jie Cai, Yuezhong Tang, Rile Hu	Spam Filter for Short Messages Using Winnow.	ALPIT	2008	DBLP DOI BibTeX RDF
27	John M. Hitchcock	Online Learning and Resource-Bounded Dimension: Winnow Yields New Lower Bounds for Hard Sets.	SIAM J. Comput.	2007	DBLP DOI BibTeX RDF
27	John M. Hitchcock	Online Learning and Resource-Bounded Dimension: Winnow Yields New Lower Bounds for Hard Sets	Electron. Colloquium Comput. Complex.	2005	DBLP BibTeX RDF
27	John M. Hitchcock	Online Learning and Resource-Bounded Dimension: Winnow Yields New Lower Bounds for Hard Sets	CoRR	2005	DBLP BibTeX RDF
27	Sukree Sinthupinyo, Cholwich Nattee, Masayuki Numao, Takashi Okada, Boonserm Kijsirikul	Improving Multiclass ILP by Combining Partial Rules with Winnow Algorithm: Results on Classification of Dopamine Antagonist Molecules.	JSAI Workshops	2004	DBLP DOI BibTeX RDF
27	Chris Mesterharm	Tracking Linear-threshold Concepts with Winnow.	J. Mach. Learn. Res.	2003	DBLP BibTeX RDF
27	Tong Zhang 0001, Fred Damerau, David Johnson 0002	Text Chunking based on a Generalization of Winnow.	J. Mach. Learn. Res.	2002	DBLP BibTeX RDF
27	Rocco A. Servedio	PAC Analogues of Perceptron and Winnow Via Boosting the Margin.	Mach. Learn.	2002	DBLP DOI BibTeX RDF
27	Rocco A. Servedio	Perceptron, Winnow, and PAC Learning.	SIAM J. Comput.	2002	DBLP DOI BibTeX RDF
27	Tong Zhang 0001, Fred Damerau, David Johnson 0002	Text Chunking using Regularized Winnow.	ACL	2001	DBLP BibTeX RDF
27	Tong Zhang 0001	Regularized Winnow Methods.	NIPS	2000	DBLP BibTeX RDF
27	Rocco A. Servedio	PAC Analogues of Perceptron and Winnow via Boosting the Margin.	COLT	2000	DBLP BibTeX RDF
27	Andrew R. Golding, Dan Roth	A Winnow-Based Approach to Context-Sensitive Spelling Correction.	Mach. Learn.	1999	DBLP DOI BibTeX RDF
27	Chris Mesterharm	A Multi-class Linear Learning Algorithm Related to Winnow.	NIPS	1999	DBLP BibTeX RDF
27	Rocco A. Servedio	On PAC Learning Using Winnow, Perceptron, and a Perceptron-like Algorithm.	COLT	1999	DBLP DOI BibTeX RDF
27	Andrew R. Golding, Dan Roth	A Winnow-Based Approach to Context-Sensitive Spelling Correction	CoRR	1998	DBLP BibTeX RDF
27	Surapant Meknavin, Boonserm Kijsirikul, Ananlada Chotimongkol, Cholwich Nattee	Combining Trigram and Winnow in Thai OCR Error Correction.	COLING-ACL	1998	DBLP BibTeX RDF
27	Jyrki Kivinen, Manfred K. Warmuth, Peter Auer	The Perceptron Algorithm Versus Winnow: Linear Versus Logarithmic Mistake Bounds when Few Input Variables are Relevant (Technical Note).	Artif. Intell.	1997	DBLP DOI BibTeX RDF
27	Avrim Blum	Empirical Support for Winnow and Weighted-Majority Algorithms: Results on a Calendar Scheduling Domain.	Mach. Learn.	1997	DBLP DOI BibTeX RDF
27	Andrew R. Golding, Dan Roth	Applying Winnow to Context-Sensitive Spelling Correction	CoRR	1996	DBLP BibTeX RDF
27	Nick Littlestone, Chris Mesterharm	An Apobayesian Relative of Winnow.	NIPS	1996	DBLP BibTeX RDF
27	Andrew R. Golding, Dan Roth	Applying Winnow to Context-Sensitive Spelling Correction.	ICML	1996	DBLP BibTeX RDF
27	Jyrki Kivinen, Manfred K. Warmuth	The Perceptron Algorithm vs. Winnow: Linear vs. Logarithmic Mistake Bounds when few Input Variables are Relevant.	COLT	1995	DBLP DOI BibTeX RDF
27	Avrim Blum	Empirical Support for Winnow and Weighted-Majority Based Algorithms: Results on a Calendar Scheduling Domain.	ICML	1995	DBLP DOI BibTeX RDF
27	Nick Littlestone	Redundant Noisy Attributes, Attribute Errors, and Linear-Threshold Learning Using Winnow.	COLT	1991	DBLP BibTeX RDF
27	Peter Auer, Manfred K. Warmuth	Tracking the Best Disjunction.	FOCS	1995	DBLP DOI BibTeX RDF	best disjunction tracking, deterministic on-line learning algorithm, k-literal disjunctions, worst-case mistake bounds, learning (artificial intelligence), upper bounds, computational linguistics, randomised algorithms, amortized analysis, Winnow
17	William B. Langdon, Andrew P. Harrison	GP on SPMD parallel graphics hardware for mega Bioinformatics data mining.	Soft Comput.	2008	DBLP DOI BibTeX RDF
17	Juan José Rodríguez, Ludmila I. Kuncheva	Combining Online Classification Approaches for Changing Environments.	SSPR/SPR	2008	DBLP DOI BibTeX RDF
17	Ludmila I. Kuncheva, Catrin O. Plumpton	Adaptive Learning Rate for Online Linear Discriminant Classifiers.	SSPR/SPR	2008	DBLP DOI BibTeX RDF
17	Michael A. Langston, Andy D. Perkins, Arnold M. Saxton, Jon A. Scharff, Brynn H. Voy	Innovative computational methods for transcriptomic data analysis.	SAC	2006	DBLP DOI BibTeX RDF	genomic analysis, graph theory, high performance computation
17	Trevor Ahmedali, James J. Clark	Collaborative Multi-Camera Surveillance with Automated Person Detection.	CRV	2006	DBLP DOI BibTeX RDF
17	Justin Schonfeld, Dan Ashlock	Filtration and Depth Annotation Improve Non-linear Projection for RNA Motif Discovery.	CIBCB	2006	DBLP DOI BibTeX RDF
17	Aggelos Gkiokas, Iason Demiros, Stelios Piperidis	An Analysis of Linear Weight Updating Algorithms for Text Classification.	SETN	2006	DBLP DOI BibTeX RDF
17	Huaping Zhang, Jian Sun 0008, Bing Wang, Shuo Bai	Computation on Sentence Semantic Distance for Novelty Detection.	J. Comput. Sci. Technol.	2005	DBLP DOI BibTeX RDF	sentence semantic distance, categorization, novelty detection
17	Jinze Liu, Susan Paulsen, Wei Wang 0010, Andrew B. Nobel, Jan F. Prins	Mining Approximate Frequent Itemsets from Noisy Data.	ICDM	2005	DBLP DOI BibTeX RDF
17	Ben Hachey, Claire Grover	Sequence modelling for sentence classification in a legal summarisation system.	SAC	2005	DBLP DOI BibTeX RDF	automatic summarisation, artificial intelligence, natural language, law, discourse
17	Frédéric Koriche	Online Closure-Based Learning of Relational Theories.	ILP	2005	DBLP DOI BibTeX RDF
17	Vinod Nair, James J. Clark	An Unsupervised, Online Learning Framework for Moving Object Detection.	CVPR (2)	2004	DBLP DOI BibTeX RDF
17	Jie Chen 0001, Xilin Chen 0001, Wen Gao 0001	Expand Training Set for Face Detection by GA Re-sampling.	FGR	2004	DBLP DOI BibTeX RDF
17	Nicolò Cesa-Bianchi, Gábor Lugosi, Gilles Stoltz	Minimizing Regret with Label Efficient Prediction.	COLT	2004	DBLP DOI BibTeX RDF
17	Andreas Opelt, Michael Fussenegger, Axel Pinz, Peter Auer	Weak Hypotheses and Boosting for Generic Object Detection and Recognition.	ECCV (2)	2004	DBLP DOI BibTeX RDF
17	Shlomo Argamon, Marin Saric, Sterling Stuart Stein	Style mining of electronic messages for multiple authorship discrimination: first results.	KDD	2003	DBLP DOI BibTeX RDF	computational stylistics, text mining, text categorization, electronic communication, authorship attribution
17	Noga Alon, Baruch Awerbuch, Yossi Azar, Niv Buchbinder, Joseph Naor	The online set cover problem.	STOC	2003	DBLP DOI BibTeX RDF	competitive analysis, on-line algorithms, set-cover, derandomization, randomized rounding
17	Charles M. E. E. Peters, Cornelis H. A. Koster	Uncertainty-Based Noise Reduction and Term Selection in Text Categorization.	ECIR	2002	DBLP DOI BibTeX RDF
17	Rocco A. Servedio	Smooth Boosting and Learning with Malicious Noise.	COLT/EuroCOLT	2001	DBLP DOI BibTeX RDF
17	Zhixiang Chen 0001	Multiplicative Adaptive Algorithms for User Preference Retrieval.	COCOON	2001	DBLP DOI BibTeX RDF
17	Cholwich Nattee, Masayuki Numao	Geometric Method for Document Understanding and Classification Using On-line Machine Learning.	ICDAR	2001	DBLP DOI BibTeX RDF
17	Neal Lesh, Mohammed Javeed Zaki, Mitsunori Ogihara	Scalable Feature Mining for Sequential Data.	IEEE Intell. Syst.	2000	DBLP DOI BibTeX RDF	classification, feature extraction, feature selection, sequence mining
17	Sally A. Goldman, Stephen Kwek	On Learning Unions of Pattern Languages and Tree Patterns.	ALT	1999	DBLP DOI BibTeX RDF