Training a 3-node neural network is NP-complete

Crytographic limitations on learning Boolean formulae and finite automata

STOC '89 Proceedings of the twenty-first annual ACM symposium on Theory of computing

Learnability and the Vapnik-Chervonenkis dimension

Journal of the ACM (JACM)

Robust trainability of single neurons

COLT '92 Proceedings of the fifth annual workshop on Computational learning theory

Finiteness results for sigmoidal “neural” networks

STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing

Bounds for the computational power and learning complexity of analog neural nets

STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing

Cryptographic limitations on learning Boolean formulae and finite automata

Journal of the ACM (JACM)

Almost optimal set covers in finite VC-dimension: (preliminary version)

SCG '94 Proceedings of the tenth annual symposium on Computational geometry

Training a sigmoidal node is hard

Neural Computation

Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey

Data Mining and Knowledge Discovery

Ensembles of Learning Machines

WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers

Decision Queue Classifier for Supervised Learning Using Rotated Hyperboxes

IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence

Ensemble Methods in Machine Learning

MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems

Supervised learning by means of accuracy-aware evolutionary algorithms

Information Sciences: an International Journal - Special issue: Evolutionary computation

Maximizing Agreements with One-Sided Error with Applications to Heuristic Learning

Machine Learning

A framework to deal with interference in connectionist systems

AI Communications

Including hints in training neural nets

Neural Computation

Review:

Neural Computation

On the relationship between generalization error, hypothesis complexity, and sample complexity for radial basis functions

Neural Computation

A tamper-proof and lightweight authentication scheme

Pervasive and Mobile Computing

Group-Linking Method: A Unified Benchmark for Machine Learning with Recurrent Neural Network

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

A system for induction of oblique decision trees

Journal of Artificial Intelligence Research

Probably approximately correct learning

AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2