The Strength of Weak Learnability
Machine Learning
Boolean Feature Discovery in Empirical Learning
Machine Learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Cryptographic limitations on learning Boolean formulae and finite automata
Journal of the ACM (JACM)
Boosting a weak learning algorithm by majority
Information and Computation
Unifying instance-based and rule-based induction
Machine Learning
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Improved boosting algorithms using confidence-rated predictions
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Learning Logical Definitions from Relations
Machine Learning
Machine Learning
Boosting the margin: A new explanation for the effectiveness of voting methods
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Generating Accurate Rule Sets Without Global Optimization
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Journal of Artificial Intelligence Research
Mining needle in a haystack: classifying rare classes via two-phase rule induction
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Data mining criteria for tree-based regression and classification
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Solving regression problems with rule-based ensemble classifiers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Data Mining and Knowledge Discovery
Logistic Regression, AdaBoost and Bregman Distances
Machine Learning
A Taxonomy of Recommender Agents on theInternet
Artificial Intelligence Review
Scaling Boosting by Margin-Based Inclusionof Features and Relations
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Pairwise Classification as an Ensemble Technique
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Rule-Based Ensemble Solutions for Regression
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
Decision-Rule Solutions for Data Mining with Missing Values
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
Learning First Order Logic Time Series Classifiers: Rules and Boosting
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive Boosting
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Information Extraction from HTML: Combining XML and Standard Techniques for IE from the Web
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Theoretical Views of Boosting and Applications
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
Relational Learning Using Constrained Confidence-Rated Boosting
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
Predicting rare classes: can boosting make any weak learner strong?
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
The Journal of Machine Learning Research
Understanding captions in biomedical publications
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Adding numbers to text classification
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Active Sampling for Class Probability Estimation and Ranking
Machine Learning
Subgroup Discovery with CN2-SD
The Journal of Machine Learning Research
Sources of Success for Boosted Wrapper Induction
The Journal of Machine Learning Research
Towards tight bounds for rule learning
ICML '04 Proceedings of the twenty-first international conference on Machine learning
A Multi-Class SLIPPER System for Intrusion Detection
COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Volume 01
Pareto-optimal patterns in logical analysis of data
Discrete Applied Mathematics - Discrete mathematics & data mining (DM & DM)
AutoFeed: an unsupervised learning system for generating webfeeds
Proceedings of the 3rd international conference on Knowledge capture
HAPRC: an automatically configurable planning system
AI Communications
XtraGen: a natural language generation system using XML- and Java-technologies
NLPXML '02 Proceedings of the 2nd workshop on NLP and XML - Volume 17
Effective rule induction from labeled graphs
Proceedings of the 2006 ACM symposium on Applied computing
Keyphrase extraction-based query expansion in digital libraries
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
A statistical approach to rule learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
A probabilistic classifier system and its application in data mining
Evolutionary Computation
Multi-agent strategic modeling in a robotic soccer domain
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Classifying ellipsis in dialogue: a machine learning approach
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Boosted Classification Trees and Class Probability/Quantile Estimation
The Journal of Machine Learning Research
Integration of association rules and ontologies for semantic query expansion
Data & Knowledge Engineering
Integration of association rules and ontologies for semantic query expansion
Data & Knowledge Engineering
Improving process models by discovering decision points
Information Systems
Classifying Non-Sentential Utterances in Dialogue: A Machine Learning Approach
Computational Linguistics
Intelligent Data Analysis
Margin-based first-order rule learning
Machine Learning
Combining rough decisions for intelligent text mining using Dempster's rule
Artificial Intelligence Review
An efficient intrusion detection system using a boosting-based learning algorithm
International Journal of Computer Applications in Technology
An adaptive automatically tuning intrusion detection system
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Maximum likelihood rule ensembles
Proceedings of the 25th international conference on Machine learning
Fuzzy Rules Generation Method for Pattern Recognition Problems
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Detecting Problematic Dialogs with Automated Agents
PIT '08 Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems
Solving Regression by Learning an Ensemble of Decision Rules
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
How an Ensemble Method Can Compute a Comprehensible Model
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Boosting products of base classifiers
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
A Classifier Ensemble Approach to Intrusion Detection for Network-Initiated Attacks
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
On the appropriateness of evolutionary rule learning algorithms for malware detection
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Overview of autofeed: an unsupervised learning system for generating webfeeds
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Improved Comprehensibility and Reliability of Explanations via Restricted Halfspace Discretization
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
The Needles-in-Haystack Problem
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Using machine learning to refine Category-Partition test specifications and test suites
Information and Software Technology
Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints
Fundamenta Informaticae - Fundamentals of Knowledge Technology
Ensembles of Abstaining Classifiers Based on Rule Sets
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Software testing by active learning for commercial games
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Learning when training data are costly: the effect of class distribution on tree induction
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Expert-guided subgroup discovery: methodology and application
Journal of Artificial Intelligence Research
Active learning for class probability estimation and ranking
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
ROCCER: an algorithm for rule learning based on ROC analysis
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Rotation-based model trees for classification
International Journal of Data Analysis Techniques and Strategies
Pareto-optimal patterns in logical analysis of data
Discrete Applied Mathematics
Applying backpropagation networks to anaphor resolution
DAARC'07 Proceedings of the 6th discourse anaphora and anaphor resolution conference on Anaphora: analysis, algorithms and applications
Combining multiple sets of rules for improving classification via measuring their closenesses
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Improving user-perceived QoS in mobile ad hoc networks using decision rules induction
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Ordinal classification with decision rules
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Ensemble of decision rules for ordinal classification with monotonicity constraints
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
ENDER: a statistical framework for boosting decision rules
Data Mining and Knowledge Discovery
Ensembles of jittered association rule classifiers
Data Mining and Knowledge Discovery
Guest Editorial: Global modeling using local patterns
Data Mining and Knowledge Discovery
Identification of rhetorical roles for segmentation and summarization of a legal judgment
Artificial Intelligence and Law
Sequential covering rule induction algorithm for variable consistency rough set approaches
Information Sciences: an International Journal
Fuzzy knowledge generation method for data-mining problems
ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
A simple statistical model and association rule filtering for classification
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
A numerical refinement operator based on multi-instance learning
ILP'10 Proceedings of the 20th international conference on Inductive logic programming
Tight combinatorial generalization bounds for threshold conjunction rules
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
Early prediction of temporal sequences based on information transfer
WAIM'11 Proceedings of the 12th international conference on Web-age information management
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Frequent subsequence-based protein localization
BioDM'06 Proceedings of the 2006 international conference on Data Mining for Biomedical Applications
Fuzzy model tuning for intrusion detection systems
ATC'06 Proceedings of the Third international conference on Autonomic and Trusted Computing
Exploring query matrix for support pattern based classification learning
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
From local to global patterns: evaluation issues in rule learning algorithms
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Guiding inference through relational reinforcement learning
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
Active subgroup mining: a case study in coronary heart disease risk group detection
Artificial Intelligence in Medicine
Modifications of classification strategies in rule set based bagging for imbalanced data
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
An Improved Branch-and-Bound Method for Maximum Monomial Agreement
INFORMS Journal on Computing
Common Sense Reasoning for Detection, Prevention, and Mitigation of Cyberbullying
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Common Sense for Interactive Systems
Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints
Fundamenta Informaticae - Fundamentals of Knowledge Technology
A bayesian scoring technique for mining predictive and non-spurious rules
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Models of recognition procedures with logical correctors
Pattern Recognition and Image Analysis
Preceding rule induction with instance reduction methods
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
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