Learning and decision-making in the framework of fuzzy lattices
New learning paradigms in soft computing
On computing the diameter of a point set in high dimensional Euclidean space
Theoretical Computer Science
Randomized Algorithms: A System-Level, Poly-Time Analysis of Robust Computation
IEEE Transactions on Computers
Generalization Ability of Folding Networks
IEEE Transactions on Knowledge and Data Engineering
Training a single sigmoidal neuron is hard
Neural Computation
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
Generalization Performances of Perceptrons
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
On the Generalization Ability of Recurrent Networks
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
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
Neural ARX Models and PAC Learning
AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
On Approximate Learning by Multi-layered Feedforward Circuits
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Minimizing the Quadratic Training Error of a Sigmoid Neuron Is Hard
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
On Computing the Diameter of a Point Set in High Dimensional Euclidean Space
ESA '99 Proceedings of the 7th Annual European Symposium on Algorithms
Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Gauge groups and data classification
Applied Mathematics and Computation
A few notes on statistical learning theory
Advanced lectures on machine learning
A Bilingual OCR for Hindi-Telugu Documents and its Applications
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
The Journal of Machine Learning Research
Results in statistical discriminant analysis: a review of the former Soviet union literature
Journal of Multivariate Analysis
Learning with side information: PAC learning bounds
Journal of Computer and System Sciences
Online learning of conditionally I.I.D. data
ICML '04 Proceedings of the twenty-first international conference on Machine learning
A Randomized Stochastic Approximation Algorithm for Self-Learning
Automation and Remote Control
A Fixed-Distribution PAC Learning Theory for Neural FIR Models
Journal of Intelligent Information Systems
On the Nonlearnability of a Single Spiking Neuron
Neural Computation
On approximate learning by multi-layered feedforward circuits
Theoretical Computer Science - Algorithmic learning theory (ALT 2000)
The performance bounds of learning machines based on exponentially strongly mixing sequences
Computers & Mathematics with Applications
A survey of randomized algorithms for control synthesis and performance verification
Journal of Complexity
Estimates of covering numbers of convex sets with slowly decaying orthogonal subsets
Discrete Applied Mathematics
Unsupervised slow subspace-learning from stationary processes
Theoretical Computer Science
Mechanisms for information elicitation
Artificial Intelligence
Learning from dependent observations
Journal of Multivariate Analysis
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
A tighter error bound for decision tree learning using PAC learnability
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Stability Bounds for Stationary φ-mixing and β-mixing Processes
The Journal of Machine Learning Research
Population sizing based on landscape feature
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Complexity bounds for batch active learning in classification
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
PAC learnability of a concept class under non-atomic measures: a problem by Vidyasagar
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Generalization error of multinomial classifier
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Technical Communique: A global optimization technique for checking parametric robustness
Automatica (Journal of IFAC)
Non-asymptotic quality assessment of generalised FIR models with periodic inputs
Automatica (Journal of IFAC)
H∞ set membership identification: A survey
Automatica (Journal of IFAC)
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