Search results for "Reward"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
115	Hakan Aydin, Rami G. Melhem, Daniel Mossé, Pedro Mejía-Alvarez	Optimal Reward-Based Scheduling for Periodic Real-Time Tasks.	IEEE Trans. Computers	2001	DBLP DOI BibTeX RDF	Real-time systems, imprecise computation, deadline scheduling, reward maximization, periodic task scheduling
92	Jian-Jia Chen, Tei-Wei Kuo	Voltage Scaling Scheduling for Periodic Real-Time Tasks in Reward Maximization.	RTSS	2005	DBLP DOI BibTeX RDF	Periodic Real-Time Tasks, Reward-Based Scheduling, Energy-Efficient Scheduling, Reward Maximization
91	Anja Austermann, Seiji Yamada	Learning Reward Modalities for Human-Robot-Interaction in a Cooperative Training Task.	RO-MAN	2007	DBLP DOI BibTeX RDF
91	Kagan Tumer, Adrian K. Agogino	Efficient Reward Functions for Adaptive Multi-rover Systems.	LAMAS	2005	DBLP DOI BibTeX RDF
89	Adrian K. Agogino, Kagan Tumer	Analyzing and visualizing multiagent rewards in dynamic and stochastic domains.	Auton. Agents Multi Agent Syst.	2008	DBLP DOI BibTeX RDF	Reward analysis, Visualization, Reinforcement learning, Multiagent learning
84	Jasen Markovski, Ana Sokolova, Nikola Trcka, Erik P. de Vink	Compositionality for Markov Reward Chains with Fast Transitions.	EPEW	2007	DBLP DOI BibTeX RDF	discontinuous Markov reward chains, Markov reward chains with fast transitions, lumpability, Kronecker product and sum, reduction, compositionality, parallel composition
83	Hakan Aydin, Rami G. Melhem, Daniel Mossé, Pedro Mejía-Alvarez	Optimal Reward-Based Scheduling of Periodic Real-Time Tasks.	RTSS	1999	DBLP DOI BibTeX RDF	Real-Time Scheduling, Imprecise Computation, Periodic scheduling, Reward Maximization
76	Sándor Rácz, Árpád Tari, Miklós Telek	MRMSolve: Distribution Estimation of Large Markov Reward Models.	Computer Performance Evaluation / TOOLS	2002	DBLP DOI BibTeX RDF	accumulated reward, moments based distribution estimation, completion time, Markov Reward Models
75	Yunsick Sung, Kyungeun Cho, Kyhyun Um	A reward field model generation in Q-learning by dynamic programming.	ICIS	2009	DBLP DOI BibTeX RDF	learning time, reward model, reinforcement learning
75	Peter Marbach, John N. Tsitsiklis	Approximate Gradient Methods in Policy-Space Optimization of Markov Reward Processes.	Discret. Event Dyn. Syst.	2003	DBLP DOI BibTeX RDF	Markov reward processes, policy-space optimization, simulation-based optimization
75	Muhammad A. Qureshi, William H. Sanders, Aad P. A. van Moorsel, Reinhard German	Algorithms for the Generation of State-Level Representations of Stochastic Activity Networks with General Reward Structures.	IEEE Trans. Software Eng.	1996	DBLP DOI BibTeX RDF	well-specified, well-defined, Markov processes, Stochastic Petri nets, stochastic activity networks
67	Adrian K. Agogino, Kagan Tumer	Multi-agent reward analysis for learning in noisy domains.	AAMAS	2005	DBLP DOI BibTeX RDF	visualization, reinforcement learning, multiagent systems
67	Avrim Blum, Shuchi Chawla 0001, David R. Karger, Terran Lane, Adam Meyerson, Maria Minkoff	Approximation Algorithms for Orienteering and Discounted-Reward TSP.	FOCS	2003	DBLP DOI BibTeX RDF
64	Katerina Goseva-Popstojanova, Kishor S. Trivedi	Stochastic Modeling Formalisms for Dependability, Performance and Performability.	Performance Evaluation	2000	DBLP DOI BibTeX RDF
64	Chun-I Fan, Chin-Laung Lei	Secure Rewarding Schemes.	HICSS (3)	1997	DBLP DOI BibTeX RDF
59	Chang Ouk Kim, Ick-Hyun Kwon, Jun-Geol Baek	Asynchronous action-reward learning for nonstationary serial supply chain inventory control.	Appl. Intell.	2008	DBLP DOI BibTeX RDF	Action reward learning, Asynchronous performance measure update, Situation reactive inventory control, Two-stage serial supply chain, Nonstationary customer demand, Machine learning
59	Gábor Horváth 0002, Sándor Rácz, Árpád Tari, Miklós Telek	Evaluation of Reward Analysis Methods with MRMSolve 2.0.	QEST	2004	DBLP DOI BibTeX RDF	Randomization, Numerical analysis, Markov reward models
59	Taro Konda, Tomohiro Yamaguchi 0002	LC-Learning: Phased Method for Average Reward Reinforcement Learning - Analysis of Optimal Criteria.	PRICAI	2002	DBLP DOI BibTeX RDF	Average Reward Method, LC-learning, Machine Learning, Artificial Intelligence, Reinforcement Learning, Markov Decision Process
59	Lucas R. Hope, Kevin B. Korb	Bayesian Information Reward.	Australian Joint Conference on Artificial Intelligence	2002	DBLP DOI BibTeX RDF	information reward, Bayesian evaluation, evaluation of machine learners, Evaluation metrics, predictive accuracy
59	Ann T. Tai, Kam S. Tso, William H. Sanders	A recurrence-relation-based reward model for performability evaluation of embedded systems.	DSN	2008	DBLP DOI BibTeX RDF
59	Adrian Kotelba, Aarne Mämmelä	Application of Financial Risk-Reward Theory to Adaptive Transmission.	VTC Spring	2008	DBLP DOI BibTeX RDF
59	Bo Fan, Jiexin Pu	A Design of Reward Function Based on Knowledge in Multi-agent Learning.	ADMA	2008	DBLP DOI BibTeX RDF
59	Weidong Zhou, Richard J. Coggins	Biologically Inspired Reinforcement Learning: Reward-Based Decomposition for Multi-goal Environments.	BioADIT	2004	DBLP DOI BibTeX RDF
56	Song-Ju Kim, Masashi Aono, Masahiko Hara	Tug-Of-War Model for Two-Bandit Problem.	UC	2009	DBLP DOI BibTeX RDF
56	Adam Ponzi	Replay, Working Memory and Action Selection in Temporal Credit Assignment - a Simple Neural Network Model.	IJCNN	2007	DBLP DOI BibTeX RDF
56	Nobuyuki Tanaka, Sachiyo Arai	Teamwork Formation for Keepaway in Robotics Soccer (Reinforcement Learning Approach).	PRIMA	2006	DBLP DOI BibTeX RDF
56	Luis Miramontes Hercog, Terence C. Fogarty	Social Simulation Using a Multi-agent Model Based on Classifier Systems: The Emergence of Vacillating Behaviour in the "El Farol" Bar Problem.	IWLCS	2001	DBLP DOI BibTeX RDF	El Farol Bar problem, Multi-agent Systems, Learning Classifier Systems, XCS, emergent behaviour
53	Masayuki Ohta	Direct Reward and Indirect Reward in Multi-agent Reinforcement Learning.	RoboCup	2002	DBLP DOI BibTeX RDF
51	Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, Alan Fern	Transfer in variable-reward hierarchical reinforcement learning.	Mach. Learn.	2008	DBLP DOI BibTeX RDF	Average-reward learning, Multi-criteria learning, Transfer learning, Hierarchical reinforcement learning
51	Luciano Gamberini, Giovanni Petrucci, Andrea Spoto, Anna Spagnolli	Embedded Persuasive Strategies to Obtain Visitors' Data: Comparing Reward and Reciprocity in an Amateur, Knowledge-Based Website.	PERSUASIVE	2007	DBLP DOI BibTeX RDF	social proof, persuasion, websites, reciprocity, personal information, reward
51	Dani Goldberg, Maja J. Mataric	Maximizing Reward in a Non-Stationary Mobile Robot Environment.	Auton. Agents Multi Agent Syst.	2003	DBLP DOI BibTeX RDF	on-line modeling, collection tasks, mobile robots, reward maximization, non-stationary environments
51	Sabah al-Binali	A Risk-Reward Framework for the Competitive Analysis of Financial Games.	Algorithmica	1999	DBLP DOI BibTeX RDF	Adaptive trading strategies, Forecast, Competitive analysis, Risk, On-line algorithms, Reward
51	Bruce A. Reinig, Robert O. Briggs, Morgan M. Shepherd, Jerome Yen, Jay F. Nunamaker Jr.	Developing and validating an instrument to measure the impact of group support technology on affective reward.	HICSS (4)	1995	DBLP DOI BibTeX RDF	group support technology, group productivity, user resistance, excitation transfer, affective reward, emotionally unfulfilled, laboratory investigation, groupware, human factors, business data processing, social aspects of automation, team effectiveness
51	Andrea Soltoggio, Ben Jones	Novelty of behaviour as a basis for the neuro-evolution of operant reward learning.	GECCO	2009	DBLP DOI BibTeX RDF	learning, artificial life, neuro-evolution
51	Okan Yilmaz, Ing-Ray Chen	On QoS Guarantees with Reward Optimization for Servicing Multiple Priority Classes in Wireless Networks.	ICCCN	2008	DBLP DOI BibTeX RDF
51	B. Thomas Adler, Luca de Alfaro, Marco Faella	Average Reward Timed Games.	FORMATS	2005	DBLP DOI BibTeX RDF
51	Sham M. Kakade	Optimizing Average Reward Using Discounted Rewards.	COLT/EuroCOLT	2001	DBLP DOI BibTeX RDF
49	Cheul Woo Ro, Kishor S. Trivedi	Performability analysis of handoff calls in personal communication networks.	ICCCN	1997	DBLP DOI BibTeX RDF	handoff calls, SRN model, phase type expansion, approximate nonexponential call holding time distribution, hand-off models, failure relate, performance, performability analysis, dependability, channel assignment, personal communication networks, Markov reward models, frequency allocation, stochastic reward nets
49	Kevin B. Korb, Lucas R. Hope, Michelle J. Hughes	The Evaluation of Predictive Learners: Some Theoretical and Empirical Results.	ECML	2001	DBLP DOI BibTeX RDF	information reward, machine learning, Evaluation, predictive accuracy, scoring rules, Kullback-Leibler distance
49	Reinhard German, Aad P. A. van Moorsel, Muhammad A. Qureshi, William H. Sanders	Expected Impulsive Rewards in Markov Regenerative Stochastic Petri Nets.	Application and Theory of Petri Nets	1996	DBLP DOI BibTeX RDF	Markov regenerative stochastic Petri nets, method of supplementary variables, rate and impulse reward measures
48	Daniel Kudenko, Marek Grzes	Knowledge-Based Reinforcement Learning for Data Mining.	ADMI	2009	DBLP DOI BibTeX RDF
48	Sudipto Guha, Kamesh Munagala	Approximation algorithms for budgeted learning problems.	STOC	2007	DBLP DOI BibTeX RDF	algorithms, learning, approximation
48	Mal Lee, Eung-Kwan Kang	Learning enabled cooperative agent behavior in an evolutionary and competitive environment.	Neural Comput. Appl.	2006	DBLP DOI BibTeX RDF	Genetic algorithm, Agent, Artificial neural network, Evolution, Artificial life
48	Pieter Abbeel, Andrew Y. Ng	Apprenticeship learning via inverse reinforcement learning.	ICML	2004	DBLP DOI BibTeX RDF
48	Alwyn Barry	Limits in Long Path Learning with XCS.	GECCO	2003	DBLP DOI BibTeX RDF
48	Christel Baier, Boudewijn R. Haverkort, Holger Hermanns, Joost-Pieter Katoen	On the Logical Characterisation of Performability Properties.	ICALP	2000	DBLP DOI BibTeX RDF
48	K. Miyazaki, Nobuyuki Araki, Eucaly Mogi, Tsuneyuki Kobayashi, Yukifumi Shigematsu, Michinori Ichikawa, Gen Matsumoto	Brain learning control representation in nucleus accumbens.	KES (2)	1998	DBLP DOI BibTeX RDF
47	Sekione Reward Jeremiah, Laurence Tianruo Yang, Jong Hyuk Park	Digital twin-assisted resource allocation framework based on edge collaboration for vehicular edge computing.	Future Gener. Comput. Syst.	2024	DBLP DOI BibTeX RDF
47	Abir El Azzaoui, Sekione Reward Jeremiah, Neal N. Xiong, Jong Hyuk Park	A digital twin-based edge intelligence framework for decentralized decision in IoV system.	Inf. Sci.	2023	DBLP DOI BibTeX RDF
47	Haotian Chen, Abir El Azzaoui, Sekione Reward Jeremiah, Jong Hyuk Park	A Novel Smart Contract based Optimized Cloud Selection Framework for Efficient Multi-Party Computation.	J. Inf. Process. Syst.	2023	DBLP DOI BibTeX RDF
43	Prashant Joshi, Jochen Triesch	Optimizing Generic Neural Microcircuits through Reward Modulated STDP.	ICANN (1)	2009	DBLP DOI BibTeX RDF	Reward modulated STDP, generic neural microcircuits, optimization
43	Peayton Chen, Rita Kuo, Maiga Chang, Jia-Sheng Heh	Designing a Trading Card Game as Educational Reward System to Improve Students' Learning Motivations.	Edutainment	2009	DBLP DOI BibTeX RDF	Trading Card Game, Learning motivation, Game, Competition, Reward
43	Winfried K. Grassmann, Jingxiang Luo	Simulating markov-reward processes with rare events.	ACM Trans. Model. Comput. Simul.	2005	DBLP DOI BibTeX RDF	Markov reward processes, Markovian event systems, Variance of time averages, simulation, rare events, rare event simulation
43	Masami Kurano, Masami Yasuda, Jun-ichi Nakagami, Yuji Yoshida	Perceptive Evaluation for the Optimal Discounted Reward in Markov Decision Processes.	MDAI	2005	DBLP DOI BibTeX RDF	Fuzzy perceptive model, fuzzy perceptive reward, optimal policy function, Markov decision process
43	Abhijit Gosavi	A Reinforcement Learning Algorithm Based on Policy Iteration for Average Reward: Empirical Results with Yield Management and Convergence Analysis.	Mach. Learn.	2004	DBLP DOI BibTeX RDF	average reward, reinforcement learning, policy iteration
43	Yoshinobu Bochi, Tadachika Ozono, Toramatsu Shintani	A direct-indirect reward sharing model in multiagent reinforcement learning.	AAMAS	2003	DBLP DOI BibTeX RDF	reward sharing, reinforcement learning, contributions
43	Taro Konda, Shinjiro Tensyo, Tomohiro Yamaguchi 0002	LC-Learning: Phased Method for Average Reward Reinforcement Learning - Preliminary Results.	PRICAI	2002	DBLP DOI BibTeX RDF	Average Reward Method, LC-learning, Machine Learning, Artificial Intelligence, Reinforcement Learning, Markov Decision Process
43	Bhaskara Marthi	Automatic shaping and decomposition of reward functions.	ICML	2007	DBLP DOI BibTeX RDF
43	Alexander Totok, Vijay Karamcheti	Improving Performance of Internet Services Through Reward-Driven Request Prioritization.	IWQoS	2006	DBLP DOI BibTeX RDF
43	Gábor Horváth 0002, Sándor Rácz, Miklós Telek	Analysis of Second-Order Markov Reward Models.	DSN	2004	DBLP DOI BibTeX RDF
43	Kazuteru Miyazaki, Shigenobu Kobayashi	Rationality of Reward Sharing in Multi-agent Reinforcement Learning.	PRIMA	1999	DBLP DOI BibTeX RDF
43	Edmundo de Souza e Silva, H. Richard Gail, Reinaldo Vallejos Campos	Calculating Transient Distributions of Cumulative Reward.	SIGMETRICS	1995	DBLP DOI BibTeX RDF
41	Liu Bin, Cui Wentian, Xin Chunlin	Cash Management and Its Risk Control under No-Stationary Uncertain Demand.	ISECS	2008	DBLP DOI BibTeX RDF	Cash balance problem, Online Algorithm with Risk-reward, Competitive Ratio
41	Jinghua Wu, Guorui Jiang, Tiyun Huang	Using Two Main Arguments in Agent Negotiation.	PRIMA	2006	DBLP DOI BibTeX RDF	Agent, Negotiation, Threat, Reward
41	Kalyanaraman Vaidyanathan, Kishor S. Trivedi	A Comprehensive Model for Software Rejuvenation.	IEEE Trans. Dependable Secur. Comput.	2005	DBLP DOI BibTeX RDF	measurement-based dependability evaluation, semi-Markov reward models, Availability, workload characterization, software rejuvenation, software aging
41	Hakan Aydin, Rami G. Melhem, Daniel Mossé	Optimal scheduling of imprecise computation tasks in the presence of multiple faults.	RTCSA	2000	DBLP DOI BibTeX RDF	imprecise computation tasks, real-time computing models, nondecreasing reward function, FT Optimal framework, transient fault tolerance, scheduling, real-time systems, image processing, multimedia, software fault tolerance, multiple faults, speech processing, optimal scheduling
41	Tim Kovacs	Strength or Accuracy? Fitness Calculation in Learning Classifier Systems.	Learning Classifier Systems	1999	DBLP DOI BibTeX RDF	strong overgeneral classifiers, biased reward functions, accuracy-based fitness, complete covering maps, exploration, XCS
40	Lucia Cloth, Boudewijn R. Haverkort	The Performability Tool P'ility.	QEST	2008	DBLP DOI BibTeX RDF
40	Huazhong Ning, Wei Xu 0007, Yue Zhou, Yihong Gong, Thomas S. Huang	Temporal difference learning to detect unsafe system states.	ICPR	2008	DBLP DOI BibTeX RDF
40	Ming Cao 0001, Andrew Reed Stewart, Naomi Ehrich Leonard	Integrating human and robot decision-making dynamics with feedback: Models and convergence analysis.	CDC	2008	DBLP DOI BibTeX RDF
40	Ngo Anh Vien, TaeChoong Chung	Policy Gradient Semi-markov Decision Process.	ICTAI (2)	2008	DBLP DOI BibTeX RDF
40	Adam Ponzi	Model of Cue Extraction from Distractors by Active Recall.	ICONIP (1)	2007	DBLP DOI BibTeX RDF
40	Malrey Lee	A study of evolution strategy based cooperative behavior in collective agents.	Artif. Intell. Rev.	2006	DBLP DOI BibTeX RDF	Attack system, Enhanced neural network, Collective agent, Genetic algorithm, Reinforcement learning
40	Shie Mannor, John N. Tsitsiklis	Online Learning with Constraints.	COLT	2006	DBLP DOI BibTeX RDF
40	Juan A. Carrasco	Transient Analysis of Some Rewarded Markov Models Using Randomization with Quasistationarity Detection.	IEEE Trans. Computers	2004	DBLP DOI BibTeX RDF
40	Stephen D. Kleban, Scott H. Clearwater	Computation-at-Risk: Assessing Job Portfolio Management Risk on Clusters.	IPDPS	2004	DBLP DOI BibTeX RDF
40	Abdellah Bennane	An Approach of Reinforcement Learning Use in Tutoring Systems.	Intelligent Tutoring Systems	2002	DBLP DOI BibTeX RDF
35	Somayeh Kianpisheh, Nasrollah Moghaddam Charkari	Dynamic Power Management for Sensor Node in WSN Using Average Reward MDP.	WASA	2009	DBLP DOI BibTeX RDF	Average reward Markov Decision Process, Wireless sensor network, Dynamic programming, Power management
35	Zonghua Zhang, Farid Naït-Abdesselam, Pin-Han Ho	Boosting Markov Reward Models for Probabilistic Security Evaluation by Characterizing Behaviors of Attacker and Defender.	ARES	2008	DBLP DOI BibTeX RDF	Network security, anomaly detection, security evaluation, Markov Reward Models
35	Bing Su, Yinfeng Xu, Peng Xiao, Lei Tian	A Risk-Reward Competitive Analysis for the Recoverable Canadian Traveller Problem.	COCOA	2008	DBLP DOI BibTeX RDF	Recoverable-CTP, Comparison strategy, Risk-reward model, Competitive analysis
35	Marcin Jurdzinski, Ranko Lazic 0001, Michal Rutkowski	Average-Price-per-Reward Games on Hybrid Automata with Strong Resets.	VMCAI	2009	DBLP DOI BibTeX RDF
35	Justin R. Chumbley, Raymond J. Dolan, Karl J. Friston	Attractor models of working memory and their modulation by reward.	Biol. Cybern.	2008	DBLP DOI BibTeX RDF
35	Marek Grzes, Daniel Kudenko	Robustness Analysis of SARSA(lambda): Different Models of Reward and Initialisation.	AIMSA	2008	DBLP DOI BibTeX RDF	SARSA, eligibility traces, reinforcement learning, Q-learning, temporal-difference learning
35	Naoyuki Karasawa, Kyoko Yamori, Kenji Donkai, Yoshiaki Tanaka	Analysis and Modelling of Willingness to Receive Reward for Relay in Ad Hoc Networks.	I3E (2)	2007	DBLP DOI BibTeX RDF
35	Steven D. Prestwich	Tuning Local Search by Average-Reward Reinforcement Learning.	LION	2007	DBLP DOI BibTeX RDF
35	Jan Peters 0001, Stefan Schaal	Reinforcement learning by reward-weighted regression for operational space control.	ICML	2007	DBLP DOI BibTeX RDF
35	David Daly, Peter Buchholz 0001, William H. Sanders	Bound-Preserving Composition for Markov Reward Models.	QEST	2006	DBLP DOI BibTeX RDF
35	Marcus Hutter	General Discounting Versus Average Reward.	ALT	2006	DBLP DOI BibTeX RDF
35	Luis Alejandro Cortés, Petru Eles, Zebo Peng	A Quasi-Static Approach to Minimizing Energy Consumption in Real-Time Systems under Reward Constraints.	RTCSA	2006	DBLP DOI BibTeX RDF
35	Lucia Cloth, Joost-Pieter Katoen, Maneesh Khattri, Reza Pulungan	Model Checking Markov Reward Models with Impulse Rewards.	DSN	2005	DBLP DOI BibTeX RDF
35	Joost-Pieter Katoen, Maneesh Khattri, Ivan S. Zapreev	A Markov Reward Model Checker.	QEST	2005	DBLP DOI BibTeX RDF
35	Dali Zhang, Hongsheng Xi, Baoqun Yin	Simulation-Based Optimization of Singularly Perturbed Markov Reward Processes with States Aggregation.	ICIC (2)	2005	DBLP DOI BibTeX RDF
35	Rodrigo M. Santos, José M. Urriza, Jorge Santos 0002, Javier Orozco	Heuristic Use of Singularities fro On-Line Scheduling of Real-Time Mandatory/Reward-Based Optional Systems.	ECRTS	2002	DBLP DOI BibTeX RDF
35	Jayanta K. Dey, James F. Kurose, Donald F. Towsley, C. M. Krishna 0001, Mahesh Girkar	Efficient On-Line Processor Scheduling for a Class of IRIS (Increasing Reward with Increasing Service.) Real-Time Tasks.	SIGMETRICS	1993	DBLP DOI BibTeX RDF
33	Dong Tang, Ravishankar K. Iyer	Dependability Measurement and Modeling of a Multicomputer System.	IEEE Trans. Computers	1993	DBLP DOI BibTeX RDF	measurement-based analysis, error data, DEC VAXcluster, system dependability characteristics, hazard rate, performance loss, transient reward rate, system unavailability, performance evaluation, modeling, fault tolerant computing, multiprocessing systems, correlation analysis, multicomputer system, Markov reward models, dependability measurement
33	Gianfranco Ciardo, Raymond A. Marie, Bruno Sericola, Kishor S. Trivedi	Performability Analysis Using Semi-Markov Reard Processes.	IEEE Trans. Computers	1990	DBLP DOI BibTeX RDF	vanishing states elimination, fast transient states elimination, semi-Markov reward processes, zero reward nonabsorbing states, probabilistic switch, stiff Markov chains, performance evaluation, performability analysis, Markov processes, decomposition, stochastic Petri net, reachability graph
32	Hiroshi Tsujino, Johane Takeuchi, Osamu Shouno	Basal Ganglia Models for Autonomous Behavior Learning.	Creating Brain-Like Intelligence	2009	DBLP DOI BibTeX RDF	modular learning system, input space selection, reinforcement learning, system architecture, execution timing, spiking neuron, reward, basal ganglia
32	Kai Lampka, Markus Siegle, Max Walter	An Easy-to-Use, Efficient Tool-Chain to Analyze the Availability of Telecommunication Equipment.	FMICS/PDMC	2006	DBLP DOI BibTeX RDF	Reliability and Availability Analysis, State Space Explosion Binary Decision Diagram, Reliability Block Diagrams, Markov Reward Model
32	Lucas R. Hope, Kevin B. Korb	A Bayesian Metric for Evaluating Machine Learning Algorithms.	Australian Conference on Artificial Intelligence	2004	DBLP DOI BibTeX RDF	Bayesian evaluation, information reward, Predictive accuracy
32	June-Wei Chen, Ren-Hung Hwang, Sing-Ling Lee	QoS allocation of multicast connections in ATM.	RTCSA	1997	DBLP DOI BibTeX RDF	quality of service allocation, call admission problem, end-to-end QoS requirement, residual capacity, effective bandwidth concept, fractional reward loss, genetic algorithm, Internet, ATM networks, performance metric, multicast tree, telecommunication services, network resources, greedy method, resource allocation problem, multicast connections