Active Bibliography

16 Complexity Issues in Discrete Hopfield Networks – Patrik Floreen , Pekka Orponen - 1994
3 Part 1: Overview of the Probably Approximately Correct (PAC) Learning Framework – David Haussler - 1995
12 The Informational Complexity of Learning from Examples – Partha Niyogi - 1996
Mitsubishi Electric Research Laboratories – Http Www Merl, Ramesh Raskar, Ramesh Raskar, Remo Ziegler, Remo Ziegler, Thomas Willwacher, Thomas Willwacher - 2002
Learnability – Jeffrey Heinz, Jason Riggle
16 Probabilistic Analysis of Learning in Artificial Neural Networks: The PAC Model and its Variants – Martin Anthony - 1994
2 Faithful Representations and Moments of Satisfaction: Probabilistic Methods in Learning and Logic – Lidror Troyansky, Prof Naftali Tishby - 1998
8 On the complexity of learning on feedforward neural nets – Wolfgang Maass - 1993
18 Perspectives of Current Research about the Complexity of Learning on Neural Nets – W. Maass - 1994
18 Data Filtering and Distribution Modeling Algorithms for Machine Learning – Yoav Freund, Manfred K. Warmuth, David Haussler, David P. Helmbold - 1993
9 Generativity and Systematicity in Neural Network Combinatorial Learning – Olivier Brousse - 1993
5 Sequential Constructive Techniques – Marco Muselli - 1998
25 On Specifying Boolean Functions by Labelled Examples – Martin Anthony, et al.
Dynamic Adjustment of TCP Acknowledgment Delays – Chapter Preliminaries In - 105
Exploring Applications of Learning Theory to Pattern Matching and Dynamic Adjustment of TCP Acknowledgment Delays – Stephen Donald Scott - 1998
5 Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians – Alberto Ruiz, M. Carmen Garrido - 1998
22 Prototype Selection for Composite Nearest Neighbor Classifiers – David B. Skalak - 1997
17 Low Entropy Coding with Unsupervised Neural Networks – George Francis Harpur
31 Hierarchical Learning with Procedural Abstraction Mechanisms – Justinian Rosca - 1997