On exact specification by examples
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Language learning in dependence on the space of hypotheses
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On the power of polynomial discriminators and radial basis function networks
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Bounding the Vapnik-Chervonenkis dimension of concept classes parameterized by real numbers
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Inductive logic programming and learnability
ACM SIGART Bulletin
Polynomial bounds for VC dimension of sigmoidal neural networks
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
On efficient agnostic learning of linear combinations of basis functions
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
IEEE Transactions on Pattern Analysis and Machine Intelligence
PAC-like upper bounds for the sample complexity of leave-one-out cross-validation
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
The importance of convexity in learning with squared loss
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
A 1996 snapshot of computational learning theory
ACM Computing Surveys (CSUR) - Special issue: position statements on strategic directions in computing research
Average-case learning curves for radial basis function networks
Neural Computation
On the complexity of learning for a spiking neuron (extended abstract)
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Dense shattering and teaching dimensions for differentiable families (extended abstract)
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Cross-validation for binary classification by real-valued functions: theoretical analysis
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Exact and approximate aggregation in constraint query languages
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Learning fixed-dimension linear thresholds from fragmented data
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Extension of the PAC framework to finite and countable Markov chains
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Identification of gene regulatory networks by strategic gene disruptions and gene overexpressions
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
On the Sample Complexity for Nonoverlapping Neural Networks
Machine Learning
Learning fixed-dimension linear thresholds from fragmented data
Information and Computation
Decision lists and related Boolean functions
Theoretical Computer Science
Dualization, decision lists and identification of monotone discrete functions
Annals of Mathematics and Artificial Intelligence
Remarks on computational learning theory
Annals of Mathematics and Artificial Intelligence
Probabilistic ’generalization‘ of functions and dimension-based uniform convergence results
Statistics and Computing
Logical analysis of data with decomposable structures
Theoretical Computer Science
Information Processing Letters
On the Learnability of Hidden Markov Models
ICGI '02 Proceedings of the 6th International Colloquium on Grammatical Inference: Algorithms and Applications
GA-Based Learning of kDNFns Boolean Formulas
ICES '01 Proceedings of the 4th International Conference on Evolvable Systems: From Biology to Hardware
Mathematical Modelling of Generalization
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
Generating Partial and Multiple Transversals of a Hypergraph
ICALP '00 Proceedings of the 27th International Colloquium on Automata, Languages and Programming
Sample Complexity for Function Learning Tasks through Linear Neural Networks
MICAI '02 Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
An Index for the Data Size to Extract Decomposable Structures in LAD
ISAAC '01 Proceedings of the 12th International Symposium on Algorithms and Computation
On Dualization in Products of Forests
STACS '02 Proceedings of the 19th Annual Symposium on Theoretical Aspects of Computer Science
Logical Analysis of Data with Decomposable Structures
COCOON '00 Proceedings of the 6th Annual International Conference on Computing and Combinatorics
COCOON '02 Proceedings of the 8th Annual International Conference on Computing and Combinatorics
Fully Consistent Extensions of Partially Defined Boolean Functions with Missing Bits
TCS '00 Proceedings of the International Conference IFIP on Theoretical Computer Science, Exploring New Frontiers of Theoretical Informatics
On the Sample Complexity for Neural Trees
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
Maximizing Agreements and CoAgnostic Learning
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
Robust Learning - Rich and Poor
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
When Can Two Unsupervised Learners Achieve PAC Separation?
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Exploring Learnability between Exact and PAC
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Variations on extending partially defined boolean functions with missing bits
Information and Computation
Logic prespective on data and knowledge
Handbook of data mining and knowledge discovery
Finding Essential Attributes from Binary Data
Annals of Mathematics and Artificial Intelligence
Definable relations and first-order query languages over strings
Journal of the ACM (JACM)
On online learning of decision lists
The Journal of Machine Learning Research
Interior and exterior functions of positive Boolean functions
Discrete Applied Mathematics
Function Learning from Interpolation
Combinatorics, Probability and Computing
Generalization Error Bounds for Threshold Decision Lists
The Journal of Machine Learning Research
Robust learning: rich and poor
Journal of Computer and System Sciences
On data classification by iterative linear partitioning
Discrete Applied Mathematics - Discrete mathematics & data mining (DM & DM)
Some connections between learning and optimization
Discrete Applied Mathematics - Discrete mathematics & data mining (DM & DM)
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Dependency of context-based word sense disambiguation from representation and domain complexity
NAACL-ANLP-SSCNLPS '00 Proceedings of the 2000 NAACL-ANLP Workshop on Syntactic and semantic complexity in natural language processing systems - Volume 1
The VC Dimension for Mixtures of Binary Classifiers
Neural Computation
Maximizing agreements and coagnostic learning
Theoretical Computer Science - Algorithmic learning theory(ALT 2002)
A note on the utility of incremental learning
AI Communications
A global parallel algorithm for the hypergraph transversal problem
Information Processing Letters
A Boolean measure of similarity
Discrete Applied Mathematics - Special issue: Discrete algorithms and optimization, in honor of professor Toshihide Ibaraki at his retirement from Kyoto University
Discrete Applied Mathematics - Special issue: Discrete algorithms and optimization, in honor of professor Toshihide Ibaraki at his retirement from Kyoto University
Logical definability and query languages over ranked and unranked trees
ACM Transactions on Computational Logic (TOCL)
On the generalization error of fixed combinations of classifiers
Journal of Computer and System Sciences
On the complexity of the multiplication method for monotone CNF/DNF dualization
ESA'06 Proceedings of the 14th conference on Annual European Symposium - Volume 14
Finding low-entropy sets and trees from binary data
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Pattern Recognition
Aspects of discrete mathematics and probability in the theory of machine learning
Discrete Applied Mathematics
The lack of a priori distinctions between learning algorithms
Neural Computation
Proceedings of the twenty-fourth annual symposium on Computational geometry
On the complexity of monotone dualization and generating minimal hypergraph transversals
Discrete Applied Mathematics
Characteristics analysis for small data set learning and the comparison of classification methods
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
The characteristics of learning in limited data and the comparative assessment of learning methods
WSEAS Transactions on Information Science and Applications
Using a similarity measure for credible classification
Discrete Applied Mathematics
A formal framework for speedup learning from problems and solutions
Journal of Artificial Intelligence Research
On data classification by iterative linear partitioning
Discrete Applied Mathematics
Some connections between learning and optimization
Discrete Applied Mathematics
The PAC-learnability of planning algorithms: Investigating simple planning domains
Information Sciences: an International Journal
Computational aspects of data mining
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartI
Computational science and data mining
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
ROLEX-SP: Rules of lexical syntactic patterns for free text categorization
Knowledge-Based Systems
Algorithms and theory of computation handbook
PAC-learning unambiguous k, l-NTS≤languages
ICGI'10 Proceedings of the 10th international colloquium conference on Grammatical inference: theoretical results and applications
Left-to-Right Multiplication for Monotone Boolean Dualization
SIAM Journal on Computing
Using the small data set learning for the monitor indicator forecast
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Approximate boolean reasoning: foundations and applications in data mining
Transactions on Rough Sets V
Transaction databases, frequent itemsets, and their condensed representations
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Blood sugar regularization based evolutionary algorithm for data classification
Applied Soft Computing
Proceedings of the 15th International Conference on Database Theory
Journal of Intelligent Manufacturing
Learning in the limit with lattice-structured hypothesis spaces
Theoretical Computer Science
Automatic Programming of Morphological Machines by PAC Learning
Fundamenta Informaticae
The More We Learn the Less We Know?: On Inductive Learning from Examples
Fundamenta Informaticae
ACM Transactions on Database Systems (TODS) - Invited papers issue
| Hi-index | 0.00 |