Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
Learnable and Nonlearnable Visual Concepts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning boolean functions in an infinite attribute space
STOC '90 Proceedings of the twenty-second annual ACM symposium on Theory of computing
Learning the Fourier spectrum of probabilistic lists and trees
SODA '91 Proceedings of the second annual ACM-SIAM symposium on Discrete algorithms
Computational learning theory: survey and selected bibliography
STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
Learning hierarchical rule sets
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Learnability of description logics
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
PAC-learnability of determinate logic programs
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
A noise model on learning sets of strings
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Efficient noise-tolerant learning from statistical queries
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On polynomial-time probably almost discriminative learnability
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Learning with restricted focus of attention
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On learning visual concepts and DNF formulae
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Analysis of upper bound in Valiant's model for learning bounded CNF expressions
SAC '93 Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice
Constant depth circuits, Fourier transform, and learnability
Journal of the ACM (JACM)
Efficient distribution-free learning of probabilistic concepts
Journal of Computer and System Sciences - Special issue: 31st IEEE conference on foundations of computer science, Oct. 22–24, 1990
Journal of the ACM (JACM)
On learning decision trees with large output domains (extended abstract)
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Towards the learnability of DNF formulae
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
On restricted-focus-of-attention learnability of Boolean functions
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
On learning width two branching programs (extended abstract)
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Learning Qualitative Models of Dynamic Systems
Machine Learning - special issue on inductive logic programming
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
On Restricted-Focus-of-Attention Learnability of Boolean Functions
Machine Learning - Special issue on the ninth annual conference on computational theory (COLT '96)
Efficient noise-tolerant learning from statistical queries
Journal of the ACM (JACM)
Learning to resolve natural language ambiguities: a unified approach
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
DL-$;elect: a decision-list-based data-mining system
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Computational sample complexity and attribute-efficient learning
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Microchoice bounds and self bounding learning algorithms
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Separate-and-Conquer Rule Learning
Artificial Intelligence Review
Machine Learning
Machine Learning
A neuroidal architecture for cognitive computation
Journal of the ACM (JACM)
Machine Learning
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Decision lists and related Boolean functions
Theoretical Computer Science
Bump hunting in high-dimensional data
Statistics and Computing
Hierarchical Wrapper Induction for Semistructured Information Sources
Autonomous Agents and Multi-Agent Systems
On the power of incremental learning
Theoretical Computer Science
An Information Theoretic Approach to Rule Induction from Databases
IEEE Transactions on Knowledge and Data Engineering
Data Categorization Using Decision Trellises
IEEE Transactions on Knowledge and Data Engineering
Text classification using ESC-based stochastic decision lists
Information Processing and Management: an International Journal
An inductive learning method for medical diagnosis
Pattern Recognition Letters
Translations of Ripple Down Rules into Logic Formalisms
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Rule Induction for Classification of Gene Expression Array Data
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Decision Queue Classifier for Supervised Learning Using Rotated Hyperboxes
IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence
Evolution of Multi-adaptive Discretization Intervals for a Rule-Based Genetic Learning System
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
A Simulated Annealing-Based Learning Algorithm for Boolean DNF
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
A Preliminary Investigation of Modified XCS as a Generic Data Mining Tool
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
A Scalable Algorithm for Rule Post-pruning of Large Decision Trees
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Algebraic Characterizations of Small Classes of Boolean Functions
STACS '03 Proceedings of the 20th Annual Symposium on Theoretical Aspects of Computer Science
On the Strength of Incremental Learning
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
Learning Intermediate Concepts
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
Classification with Intersecting Rules
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
On Variants of Iterative Learning
DS '98 Proceedings of the First International Conference on Discovery Science
Learning with Globally Predictive Tests
DS '98 Proceedings of the First International Conference on Discovery Science
A ``Top-Down and Prune'' Induction Scheme for Constrained Decision Committees
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Classifying Uncovered Examples by Rule Stretching
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
PAC Learning from Positive Statistical Queries
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
Variants of iterative learning
Theoretical Computer Science
The Journal of Machine Learning Research
On online learning of decision lists
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Supervised learning by means of accuracy-aware evolutionary algorithms
Information Sciences: an International Journal - Special issue: Evolutionary computation
ART: A Hybrid Classification Model
Machine Learning
Learning Generalized Policies from Planning Examples Using Concept Languages
Applied Intelligence
The Knowledge Engineering Review
Learning parse and translation decisions from examples with rich context
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Bunsetsu identification using category-exclusive rules
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Named entity chunking techniques in supervised learning for Japanese named entity recognition
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Subgroup Discovery with CN2-SD
The Journal of Machine Learning Research
Generalization Error Bounds for Threshold Decision Lists
The Journal of Machine Learning Research
Version spaces and the consistency problem
Artificial Intelligence
Finding Cancer Biomarkers from Mass Spectrometry Data by Decision Lists
CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
On domain-partitioning induction criteria: worst-case bounds for the worst-case based
Theoretical Computer Science
On data classification by iterative linear partitioning
Discrete Applied Mathematics - Discrete mathematics & data mining (DM & DM)
Using name-internal and contextual features to classify biological terms
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
ACM Transactions on Asian Language Information Processing (TALIP)
Transformation-based learning in the fast lane
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Independence and commitment: assumptions for rapid training and execution of rule-based POS taggers
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
HLT '93 Proceedings of the workshop on Human Language Technology
Personalisation for user agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Propositionalization-based relational subgroup discovery with RSD
Machine Learning
An incremental decision list learner
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Why nitpicking works: evidence for Occam's Razor in error correctors
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Learning morphological disambiguation rules for Turkish
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Toward Attribute Efficient Learning of Decision Lists and Parities
The Journal of Machine Learning Research
MASSP3: a system for predicting protein secondary structure
EURASIP Journal on Applied Signal Processing
Declarative programming for artificial intelligence applications
ICFP '07 Proceedings of the 12th ACM SIGPLAN international conference on Functional programming
Resolving rule conflicts with double induction
Intelligent Data Analysis
Introducing possibilistic logic in ILP for dealing with exceptions
Artificial Intelligence
Projective DNF formulae and their revision
Discrete Applied Mathematics
On the Design of Cascades of Boosted Ensembles for Face Detection
International Journal of Computer Vision
Active behavioral fingerprinting of wireless devices
WiSec '08 Proceedings of the first ACM conference on Wireless network security
Measuring teachability using variants of the teaching dimension
Theoretical Computer Science
Ripple Down Rule learning for automated word lemmatisation
AI Communications
Evolvability from learning algorithms
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Hierarchical evolution of linear regressors
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Democratic approximation of lexicographic preference models
Proceedings of the 25th international conference on Machine learning
Learning Control Knowledge for Forward Search Planning
The Journal of Machine Learning Research
Inductive Logic Programming
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
Probabilistic and Logical Beliefs
Languages, Methodologies and Development Tools for Multi-Agent Systems
Using co-occurrence models for placename disambiguation
International Journal of Geographical Information Science
Word sense disambiguation: A survey
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Learning Classifier Systems: Looking Back and Glimpsing Ahead
Learning Classifier Systems
Learning Fast Emulators of Binary Decision Processes
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On the appropriateness of evolutionary rule learning algorithms for malware detection
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Dependency parsing as a classification problem
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
A weakly supervised learning approach for spoken language understanding
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Teleo-reactive programs for agent control
Journal of Artificial Intelligence Research
Learning measures of progress for planning domains
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Spoken language understanding using weakly supervised learning
Computer Speech and Language
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Induction of first-order decision lists: results on learning the past tense of English verbs
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First order decision diagrams for relational MDPs
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Operations for learning with graphical models
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Learning DNF by decision trees
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
A critique of the valiant model
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 2
Real boosting a la carte with an application to boosting oblique decision trees
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Learning from partial observations
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
First order decision diagrams for relational MDPs
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Using learned policies in heuristic-search planning
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Exploiting structure in policy construction
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Intensional dynamic programming. A Rosetta stone for structured dynamic programming
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Learning Large Margin First Order Decision Lists for Multi-Class Classification
DS '09 Proceedings of the 12th International Conference on Discovery Science
On data classification by iterative linear partitioning
Discrete Applied Mathematics
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Learning by discovering conflicts
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Improving the performance of a pittsburgh learning classifier system using a default rule
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Efficient and effective induction of first order decision lists
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
RSD: relational subgroup discovery through first-order feature construction
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Learning action strategies for planning domains using genetic programming
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Applying MCRDR to a multidisciplinary domain
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
DALT'07 Proceedings of the 5th international conference on Declarative agent languages and technologies V
Partial observability and learnability
Artificial Intelligence
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ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
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Analyses of instance-based learning algorithms
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Complementary discrimination learning with decision lists
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Version spaces without boundary sets
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AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
IEEE Transactions on Evolutionary Computation
Democratic approximation of lexicographic preference models
Artificial Intelligence
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ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
Declarative programming for agent applications
Autonomous Agents and Multi-Agent Systems
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A parallel genetic programming algorithm for classification
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Real-valued all-dimensions search: low-overhead rapid searching over subsets of attributes
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Inductive policy selection for first-order MDPs
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
A system to indicate honorific misuse in spoken japanese
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
The greedy prepend algorithm for decision list induction
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
(Agnostic) PAC learning concepts in higher-order logic
ECML'06 Proceedings of the 17th European conference on Machine Learning
An architecture for rational agents
DALT'05 Proceedings of the Third international conference on Declarative Agent Languages and Technologies
Specification retrieval – how to find attribute-value information on the web
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
NTPC: N-fold templated piped correction
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A multi-agent system for protein secondary structure prediction
Transactions on Computational Systems Biology III
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Possibilistic inductive logic programming
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ACG'05 Proceedings of the 11th international conference on Advances in Computer Games
Intelligent decision support for medication review
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A rule based approach to group recommender systems
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
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Evolvability via the Fourier transform
Theoretical Computer Science
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ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Massive online teaching to bounded learners
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Efficient training set use for blood pressure prediction in a large scale learning classifier system
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Information Sciences: an International Journal
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Information Fusion
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The Journal of Machine Learning Research
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This paper introduces a new representation for Boolean functions, called decision lists, and shows that they are efficiently learnable from examples. More precisely, this result is established for k-;DL – the set of decision lists with conjunctive clauses of size k at each decision. Since k-DL properly includes other well-known techniques for representing Boolean functions such as k-CNF (formulae in conjunctive normal form with at most k literals per clause), k-DNF (formulae in disjunctive normal form with at most k literals per term), and decision trees of depth k, our result strictly increases the set of functions that are known to be polynomially learnable, in the sense of Valiant (1984). Our proof is constructive: we present an algorithm that can efficiently construct an element of k-DL consistent with a given set of examples, if one exists.