A game of prediction with expert advice
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Predicting nearly as well as the best pruning of a decision tree
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
A dynamic disk spin-down technique for mobile computing
MobiCom '96 Proceedings of the 2nd annual international conference on Mobile computing and networking
Predicting a binary sequence almost as well as the optimal biased coin
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
On Bayes methods for on-line Boolean prediction
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Game theory, on-line prediction and boosting
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Context-sensitive learning methods for text categorization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Predicting Nearly As Well As the Best Pruning of a Decision Tree
Machine Learning - Special issue on the eighth annual conference on computational learning theory, (COLT '95)
Journal of the ACM (JACM)
Using and combining predictors that specialize
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Derandomizing stochastic prediction strategies
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
On-line learning and the metrical task system problem
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Learning probabilistically consistent linear threshold functions
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
An efficient extension to mixture techniques for prediction and decision trees
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Analysis of two gradient-based algorithms for on-line regression
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Some label efficient learning results
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Online Learning versus Offline Learning
Machine Learning
On sequential prediction of individual sequences relative to a set of experts
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
The complexity of learning according to two models of a drifting environment
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Machine Learning - Special issue on context sensitivity and concept drift
Machine Learning - Special issue on context sensitivity and concept drift
Context-sensitive learning methods for text categorization
ACM Transactions on Information Systems (TOIS)
The robustness of the p-norm algorithms
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Learning specialist decision lists
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Linear relations between square-loss and Kolmogorov complexity
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Individual sequence prediction—upper bounds and application for complexity
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Guest Editors‘ Introduction: Machine Learning and Natural Language
Machine Learning - Special issue on natural language learning
A Winnow-Based Approach to Context-Sensitive Spelling Correction
Machine Learning - Special issue on natural language learning
Derandomizing Stochastic Prediction Strategies
Machine Learning - Special issue: computational learning theory, COLT '97
ACM Computing Surveys (CSUR)
The Complexity of Learning According to Two Models of a Drifting Environment
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
On-line Learning and the Metrical Task System Problem
Machine Learning
Probability theory for the Brier game
Theoretical Computer Science
Predicting nearly as well as the best pruning of a decision tree through dynamic programming scheme
Theoretical Computer Science
Static optimality and dynamic search-optimality in lists and trees
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Online algorithms for market clearing
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
General linear relations between different types of predictive complexity
Theoretical Computer Science
Relational learning and boosting
Relational Data Mining
Suboptimal measures of predictive complexity for absolute loss function
Information and Computation
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
On-line learning with malicious noise and the closure algorithm
Annals of Mathematics and Artificial Intelligence
Remarks on computational learning theory
Annals of Mathematics and Artificial Intelligence
Machine Learning - Special issue on context sensitivity and concept drift
Machine Learning
PAC-Bayesian Stochastic Model Selection
Machine Learning
Predicting nearly as well as the best pruning of a planar decision graph
Theoretical Computer Science
On learning unions of pattern languages and tree patterns in the mistake bound model
Theoretical Computer Science
Direct and indirect algorithms for on-line learning of disjunctions
Theoretical Computer Science
Potential-Based Algorithms in On-Line Prediction and Game Theory
Machine Learning
Analysis and synthesis of agents that learn from distributed dynamic data sources
Emergent neural computational architectures based on neuroscience
Online learning in online auctions
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
Evidence that Incremental Delta-Bar-Delta Is an Attribute-Efficient Linear Learner
ECML '02 Proceedings of the 13th European Conference on Machine Learning
iBoost: Boosting Using an i nstance-Based Exponential Weighting Scheme
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Experimental Evaluation of a Trainable Scribble Recognizer for Calligraphic Interfaces
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Building Optimal Committees of Genetic Programs
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Using Finite Automata to Mine Execution Data for Intrusion Detection: A Preliminary Report
RAID '00 Proceedings of the Third International Workshop on Recent Advances in Intrusion Detection
Predicting Conditional Branches With Fusion-Based Hybrid Predictors
Proceedings of the 2002 International Conference on Parallel Architectures and Compilation Techniques
Towards a More Comprehensive Comparison of Collaborative Filtering Algorithms
SPIRE 2002 Proceedings of the 9th International Symposium on String Processing and Information Retrieval
Applying Machine Learning for Ensemble Branch Predictors
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Direct and Indirect Algorithms for On-line Learning of Disjunctions
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing
Collaborative Learning for Constraint Solving
CP '01 Proceedings of the 7th International Conference on Principles and Practice of Constraint Programming
Structured Weight-Based Prediction Algorithms
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
Predicting Nearly as well as the best Pruning of a Planar Decision Graph
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
On Learning Unions of Pattern Languages and Tree Patterns
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
Genral Linear Relations among Different Types of Predictive Complexity
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
On-Line Algorithm to Predict Nearly as Well as the Best Pruning of a Decision Tree
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Population Computation and Majority Inference in Test Tube
DNA 7 Revised Papers from the 7th International Workshop on DNA-Based Computers: DNA Computing
Efficiently Approximating Weighted Sums with Exponentially Many Terms
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Learning Monotone DNF from a Teacher That Almost Does Not Answer Membership Queries
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Tracking a Small Set of Experts by Mixing Past Posteriors
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Potential-Based Algorithms in Online Prediction and Game Theory
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Discrete Prediction Games with Arbitrary Feedback and Loss
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Learning Additive Models Online with Fast Evaluating Kernels
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Path Kernels and Multiplicative Updates
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
A Second-Order Perceptron Algorithm
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Mixability and the Existence of Weak Complexities
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Tracking Linear-Threshold Concepts with Winnow
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Combining trigram and automatic weight distribution in Chinese spelling error correction
Journal of Computer Science and Technology
Proceedings of the fifteenth annual ACM symposium on Parallel algorithms and architectures
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
Predicting a binary sequence almost as well as the optimal biased coin
Information and Computation
A Better Lower Bound for Quantum Algorithms Searching an Ordered List
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Multiple-Instance Learning of Real-Valued Geometric Patterns
Annals of Mathematics and Artificial Intelligence
Detecting deception in reputation management
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
DNA-based algorithms for learning Boolean formulae
Natural Computing: an international journal
Adapting to a reliable network path
Proceedings of the twenty-second annual symposium on Principles of distributed computing
Tracking the best linear predictor
The Journal of Machine Learning Research
A new approximate maximal margin classification algorithm
The Journal of Machine Learning Research
Learning monotone dnf from a teacher that almost does not answer membership queries
The Journal of Machine Learning Research
Tracking a small set of experts by mixing past posteriors
The Journal of Machine Learning Research
Using confidence bounds for exploitation-exploration trade-offs
The Journal of Machine Learning Research
The Robustness of the p-Norm Algorithms
Machine Learning
Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
To buy or not to buy: mining airfare data to minimize ticket purchase price
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
A unified model for metasearch, pooling, and system evaluation
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Optimality of universal Bayesian sequence prediction for general loss and alphabet
The Journal of Machine Learning Research
Path kernels and multiplicative updates
The Journal of Machine Learning Research
Tracking linear-threshold concepts with Winnow
The Journal of Machine Learning Research
Part of speech tagging using a network of linear separators
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Loss functions, complexities, and the legendre transformation
Theoretical Computer Science - Special issue: Algorithmic learning theory
Incremental learning with partial instance memory
Artificial Intelligence
How to Better Use Expert Advice
Machine Learning
New Techniques for Disambiguation in Natural Language and Their Application to Biological Text
The Journal of Machine Learning Research
Adaptive routing with end-to-end feedback: distributed learning and geometric approaches
STOC '04 Proceedings of the thirty-sixth annual ACM symposium on Theory of computing
Competitive on-line paging strategies for mobile users under delay constraints
Proceedings of the twenty-third annual ACM symposium on Principles of distributed computing
Towards tight bounds for rule learning
ICML '04 Proceedings of the twenty-first international conference on Machine learning
On approximating weighted sums with exponentially many terms
Journal of Computer and System Sciences
On-line prediction with kernels and the complexity approximation principle
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Online learning in online auctions
Theoretical Computer Science - Special issue: Online algorithms in memoriam, Steve Seiden
Incremental rule learning based on example nearness from numerical data streams
Proceedings of the 2005 ACM symposium on Applied computing
Embeddings of negative-type metrics and an improved approximation to generalized sparsest cut
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
IEEE Transactions on Knowledge and Data Engineering
STEP: Self-Tuning Energy-safe Predictors
Proceedings of the 6th international conference on Mobile data management
Word sense disambiguation by learning from unlabeled data
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
A market-based approach to recommender systems
ACM Transactions on Information Systems (TOIS)
How many strings are easy to predict?
Information and Computation
Using additive expert ensembles to cope with concept drift
ICML '05 Proceedings of the 22nd international conference on Machine learning
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Anytime algorithms for multi-armed bandit problems
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Robbing the bandit: less regret in online geometric optimization against an adaptive adversary
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Can machine learning be secure?
ASIACCS '06 Proceedings of the 2006 ACM Symposium on Information, computer and communications security
Online trading algorithms and robust option pricing
Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
Data streams classification by incremental rule learning with parameterized generalization
Proceedings of the 2006 ACM symposium on Applied computing
ICML '06 Proceedings of the 23rd international conference on Machine learning
Proceedings of the twenty-fifth annual ACM symposium on Principles of distributed computing
An argumentation based approach for practical reasoning
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Combining expert advice in reactive environments
Journal of the ACM (JACM)
Online algorithms for market clearing
Journal of the ACM (JACM)
Learning semantic classes for word sense disambiguation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
A survey of trust and reputation systems for online service provision
Decision Support Systems
Improved second-order bounds for prediction with expert advice
Machine Learning
Regret Minimization Under Partial Monitoring
Mathematics of Operations Research
Adaptive Mixtures of Probabilistic Transducers
Neural Computation
Perspectives on multiagent learning
Artificial Intelligence
Online collaborative filtering with nearly optimal dynamic regret
Proceedings of the nineteenth annual ACM symposium on Parallel algorithms and architectures
An experts approach to strategy selection in multiagent meeting scheduling
Autonomous Agents and Multi-Agent Systems
Online discovery of similarity mappings
Proceedings of the 24th international conference on Machine learning
On cost sharing mechanisms in the network design game
Proceedings of the twenty-sixth annual ACM symposium on Principles of distributed computing
Weighting versus pruning in rule validation for detecting network and host anomalies
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Generalized multiagent learning with performance bound
Autonomous Agents and Multi-Agent Systems
Tracking the best hyperplane with a simple budget Perceptron
Machine Learning
Online linear optimization and adaptive routing
Journal of Computer and System Sciences
Machine learning: a review of classification and combining techniques
Artificial Intelligence Review
Learn to Detect Phishing Scams Using Learning and Ensemble ?Methods
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
ACM Transactions on Storage (TOS)
Embeddings of negative-type metrics and an improved approximation to generalized sparsest cut
ACM Transactions on Algorithms (TALG)
Learning recursive functions: A survey
Theoretical Computer Science
iBoost: Boosting using an instance-based exponential weighting scheme
International Journal of Hybrid Intelligent Systems
Regret minimization and the price of total anarchy
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Cost sharing mechanisms for near-optimal traffic aggregation and network design
Proceedings of the twentieth annual symposium on Parallelism in algorithms and architectures
Regret to the best vs. regret to the average
Machine Learning
Complexity of combinatorial market makers
Proceedings of the 9th ACM conference on Electronic commerce
Prediction with expert advice for the Brier game
Proceedings of the 25th international conference on Machine learning
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts
The Journal of Machine Learning Research
Semi-supervised approach to rapid and reliable labeling of large data sets
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Influence of Resampling and Weighting on Diversity and Accuracy of Classifier Ensembles
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Following the Perturbed Leader to Gamble at Multi-armed Bandits
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
Efficient Tracking as Linear Program on Weak Binary Classifiers
Proceedings of the 30th DAGM symposium on Pattern Recognition
Learning with Continuous Experts Using Drifting Games
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Learning to Trade with Incremental Support Vector Regression Experts
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Approximation algorithms for restless bandit problems
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
Threshold-optimized decision-level fusion and its application to biometrics
Pattern Recognition
The Price of Malice in Linear Congestion Games
WINE '08 Proceedings of the 4th International Workshop on Internet and Network Economics
A social network approach to resolving group-level conflict in context-aware services
Expert Systems with Applications: An International Journal
Adaptive bidding for display advertising
Proceedings of the 18th international conference on World wide web
Multiplicative updates outperform generic no-regret learning in congestion games: extended abstract
Proceedings of the forty-first annual ACM symposium on Theory of computing
Classification of peptide mass fingerprint data by novel no-regret boosting method
Computers in Biology and Medicine
Time Average Replicator and Best-Reply Dynamics
Mathematics of Operations Research
Piecewise-stationary bandit problems with side observations
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Large-scale uncertainty management systems: learning and exploiting your data
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Weights Updated Voting for Ensemble of Neural Networks Based Incremental Learning
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Performance bounded reinforcement learning in strategic interactions
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Boosting expert ensembles for rapid concept recall
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Online Markov Decision Processes
Mathematics of Operations Research
Markov Decision Processes with Arbitrary Reward Processes
Mathematics of Operations Research
Online methods for multi-domain learning and adaptation
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Efficient no-regret multiagent learning
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Coordination and multi-tasking using EMT
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Online learning with expert advice and finite-horizon constraints
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Prediction and change detection in sequential data for interactive applications
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Journal of Artificial Intelligence Research
Optimizing classifier performance in word sense disambiguation by redefining word sense classes
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
The Potluck Problem with consumers' choice behavior
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Online learning in Markov decision processes with arbitrarily changing rewards and transitions
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
Regret Minimization and Job Scheduling
SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science
Using diversity to handle concept drift in on-line learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Detecting tables in Web documents
Engineering Applications of Artificial Intelligence
Information and Computation
How many strings are easy to predict?
Information and Computation
Discrete denoising with shifts
IEEE Transactions on Information Theory
Learning Permutations with Exponential Weights
The Journal of Machine Learning Research
Prediction With Expert Advice For The Brier Game
The Journal of Machine Learning Research
An ensemble approach for data fusion with learn++
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Confidence estimation using the incremental learning algorithm, learn
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Expert mixture methods for adaptive channel equalization
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Hybrid web recommender systems
The adaptive web
Probabilistic aggregation of classifiers for incremental learning
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Aggregation by exponential weighting and sharp oracle inequalities
COLT'07 Proceedings of the 20th annual conference on Learning theory
Regret to the best vs. regret to the average
COLT'07 Proceedings of the 20th annual conference on Learning theory
Competing with stationary prediction strategies
COLT'07 Proceedings of the 20th annual conference on Learning theory
Learning permutations with exponential weights
COLT'07 Proceedings of the 20th annual conference on Learning theory
Online learning with prior knowledge
COLT'07 Proceedings of the 20th annual conference on Learning theory
Universal randomized switching
IEEE Transactions on Signal Processing
Improving boosting by exploiting former assumptions
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Online distributed sensor selection
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
A new understanding of prediction markets via no-regret learning
Proceedings of the 11th ACM conference on Electronic commerce
Learning with continuous experts using drifting games
Theoretical Computer Science
The follow perturbed leader algorithm protected from unbounded one-step losses
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
Learning volatility of discrete time series using prediction with expert advice
SAGA'09 Proceedings of the 5th international conference on Stochastic algorithms: foundations and applications
Improving link failover efficiency in MANETs using modular prediction
Sarnoff'10 Proceedings of the 33rd IEEE conference on Sarnoff
Factor graphs for universal portfolios
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
From optimization to regret minimization and back again
SysML'08 Proceedings of the Third conference on Tackling computer systems problems with machine learning techniques
Steady-state MSE performance analysis of mixture approaches to adaptive filtering
IEEE Transactions on Signal Processing
The state of the art in trust and reputation systems: a framework for comparison
Journal of Theoretical and Applied Electronic Commerce Research
A dynamic cost weighting framework for unit selection text-to-speech synthesis
IEEE Transactions on Audio, Speech, and Language Processing
Worst-case absolute loss bounds for linear learning algorithms
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Approximation algorithms for restless bandit problems
Journal of the ACM (JACM)
Online algorithms for the newsvendor problem with and without censored demands
FAW'10 Proceedings of the 4th international conference on Frontiers in algorithmics
Algorithms and theory of computation handbook
Learning negotiation policies using IB3 and Bayesian networks
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Online learning in adversarial Lipschitz environments
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Algorithm selection as a bandit problem with unbounded losses
LION'10 Proceedings of the 4th international conference on Learning and intelligent optimization
Detecting drifts in multi-issue negotiations
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Exploiting concept clumping for efficient incremental e-mail categorization
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Incrementally maintaining classification using an RDBMS
Proceedings of the VLDB Endowment
Online Learning in Case of Unbounded Losses Using Follow the Perturbed Leader Algorithm
The Journal of Machine Learning Research
Connections between markets and learning
ACM SIGecom Exchanges
A foundation of demand-side resource management in distributed systems
Transactions on computational science VIII
A foundation of demand-side resource management in distributed systems
Transactions on computational science VIII
Online forecasting of stock market movement direction using the improved incremental algorithm
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Privately releasing conjunctions and the statistical query barrier
Proceedings of the forty-third annual ACM symposium on Theory of computing
Accurate byzantine agreement with feedback
Proceedings of the 30th annual ACM SIGACT-SIGOPS symposium on Principles of distributed computing
Internet-scale visualization and detection of performance events
USENIXATC'11 Proceedings of the 2011 USENIX conference on USENIX annual technical conference
Meta optimization and its application to portfolio selection
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
A new collaborative filtering recommendation approach based on naive Bayesian method
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
Adaptive ROC-based ensembles of HMMs applied to anomaly detection
Pattern Recognition
Ensembles and multiple classifiers: a game-theoretic view
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Re-adapting the regularization of weights for non-stationary regression
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Combining initial segments of lists
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Making online decisions with bounded memory
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
An incremental ensemble of classifiers
Artificial Intelligence Review
Algorithm portfolio selection as a bandit problem with unbounded losses
Annals of Mathematics and Artificial Intelligence
Relative loss bounds for on-line density estimation with the exponential family of distributions
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Risk-Sensitive online learning
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Hannan consistency in on-line learning in case of unbounded losses under partial monitoring
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Financial application of neural networks: two case studies in greece
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
On-line adaptive filtering of web pages
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Online allocation with risk information
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
On following the perturbed leader in the bandit setting
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
On optimal learning algorithms for multiplicity automata
COLT'06 Proceedings of the 19th annual conference on Learning Theory
The shortest path problem under partial monitoring
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Tracking the best hyperplane with a simple budget perceptron
COLT'06 Proceedings of the 19th annual conference on Learning Theory
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Continuous experts and the binning algorithm
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Bucket Learning: Improving model quality through enhancing local patterns
Knowledge-Based Systems
A game-theoretic approach to weighted majority voting for combining SVM classifiers
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Aggregating strategy for online auctions
COCOON'06 Proceedings of the 12th annual international conference on Computing and Combinatorics
Near-optimal no-regret algorithms for zero-sum games
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete Algorithms
Exploiting class hierarchies for knowledge transfer in hyperspectral data
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Data dependent concentration bounds for sequential prediction algorithms
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Tracking the best of many experts
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Improved second-order bounds for prediction with expert advice
COLT'05 Proceedings of the 18th annual conference on Learning Theory
From external to internal regret
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Optimum follow the leader algorithm
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Taming traffic dynamics: Analysis and improvements
Computer Communications
Hybrid systems for personalized recommendations
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
SONR: A reliable reputation system of self-organized network
Journal of Network and Computer Applications
Minimum delay load-balancing via nonparametric regression and no-regret algorithms
Computer Networks: The International Journal of Computer and Telecommunications Networking
Evaluation methods and strategies for the interactive use of classifiers
International Journal of Human-Computer Studies
Time series analysis using fractal theory and online ensemble classifiers
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Automatic categorization of patent applications using classifier combinations
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
An ensemble method for incremental classification in stationary and non-stationary environments
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Understanding and protecting privacy: formal semantics and principled audit mechanisms
ICISS'11 Proceedings of the 7th international conference on Information Systems Security
Unifying convergence and no-regret in multiagent learning
LAMAS'05 Proceedings of the First international conference on Learning and Adaption in Multi-Agent Systems
Ensemble based sensing anomaly detection in wireless sensor networks
Expert Systems with Applications: An International Journal
Accurate byzantine agreement with feedback
OPODIS'11 Proceedings of the 15th international conference on Principles of Distributed Systems
Online Learning and Online Convex Optimization
Foundations and Trends® in Machine Learning
Sensor fusion: from dependence analysis via matroid bases to online synthesis
ALGOSENSORS'11 Proceedings of the 7th international conference on Algorithms for Sensor Systems, Wireless Ad Hoc Networks and Autonomous Mobile Entities
ML-Flex: a flexible toolbox for performing classification analyses in parallel
The Journal of Machine Learning Research
Service selection in stochastic environments: a learning-automaton based solution
Applied Intelligence
Minimax option pricing meets black-scholes in the limit
STOC '12 Proceedings of the forty-fourth annual ACM symposium on Theory of computing
Financial distress prediction using support vector machines: Ensemble vs. individual
Applied Soft Computing
Sparse regression learning by aggregation and Langevin Monte-Carlo
Journal of Computer and System Sciences
Learning with stochastic inputs and adversarial outputs
Journal of Computer and System Sciences
Evolutionary adapted ensemble for reoccurring context
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Using an ensemble system to improve concept extraction from clinical records
Journal of Biomedical Informatics
Scheduling in wireless networks with rayleigh-fading interference
Proceedings of the twenty-fourth annual ACM symposium on Parallelism in algorithms and architectures
Sampling methods for the Nyström method
The Journal of Machine Learning Research
Confidence-weighted linear classification for text categorization
The Journal of Machine Learning Research
Unexpected challenges in large scale machine learning
Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Localized discriminative scale invariant feature transform based facial expression recognition
Computers and Electrical Engineering
A closer look at adaptive regret
ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory
Runtime guarantees for regression problems
Proceedings of the 4th conference on Innovations in Theoretical Computer Science
Online Multiple Kernel Classification
Machine Learning
Toward a classification of finite partial-monitoring games
Theoretical Computer Science
Efficient Market Making via Convex Optimization, and a Connection to Online Learning
ACM Transactions on Economics and Computation - Special Issue on Algorithmic Game Theory
Adaptive regularization of weight vectors
Machine Learning
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Efficient budget allocation with accuracy guarantees for crowdsourcing classification tasks
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Truthful incentives in crowdsourcing tasks using regret minimization mechanisms
Proceedings of the 22nd international conference on World Wide Web
Selective sampling and active learning from single and multiple teachers
The Journal of Machine Learning Research
A survey on concept drift adaptation
ACM Computing Surveys (CSUR)
ASC: automatically scalable computation
Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
Sequential decision making with vector outcomes
Proceedings of the 5th conference on Innovations in theoretical computer science
Combining initial segments of lists
Theoretical Computer Science
Combining block-based and online methods in learning ensembles from concept drifting data streams
Information Sciences: an International Journal
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