5

Agnostic Learning and Single Hidden Layer Neural Networks
– Wee Sun Lee
 1996

13

The Informational Complexity of Learning from Examples
– Partha Niyogi
 1996

14

On Efficient Agnostic Learning of Linear Combinations of Basis Functions
– Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson
 1995

47

On the Relationship Between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions
– Partha Niyogi, Federico Girosi
 1996


!()+, ./01 23456
– Department Of Computer, David P. Dobkin, Dimitrios Gunopulos, Wolfgang Maass, Technische Universitaet Graz
 1995

12

Learning by Canonical Smooth Estimation, Part I: Simultaneous Estimation
– Kevin L. Buescher, P. R. Kumar
 1996

177

The Sample Complexity of Pattern Classification With Neural Networks: The Size of the Weights is More Important Than the Size of the Network
– Peter L. Bartlett
 1997

18

Probabilistic Analysis of Learning in Artificial Neural Networks: The PAC Model and its Variants
– Martin Anthony
 1997

9

Learnability of Bipartite Ranking Functions
– Shivani Agarwal, Dan Roth
 2005

13

Learning by Canonical Smooth Estimation, Part II: Learning and Choice of Model Complexity
– Kevin L. Buescher, P. R. Kumar


Computational Learning Theory
– Sally A. Goldman

721

Boosting the margin: A new explanation for the effectiveness of voting methods
– Robert E. Schapire, Peter Bartlett, Yoav Freund, Wee Sun Lee
 1997

31

Generalization Bounds for Function Approximation from Scattered Noisy Data
– Partha Niyogi, Federico Girosi
 1998

309

Regularization Theory and Neural Networks Architectures
– Federico Girosi, Michael Jones, Tomaso Poggio
 1995

6

Mathematical Aspects of Neural Networks
– B. Hammer, T. Villmann
 2003

4

Part 1: Overview of the Probably Approximately Correct (PAC) Learning Framework
– David Haussler
 1995

9

CrossValidation for Binary Classification by RealValued Functions: Theoretical Analysis
– Martin Anthony, Sean B. Holden
 1999

3

Knowledge acquisition in statistical learning theory
– Shai Fine
 1999

61

Fatshattering and the learnability of realvalued functions
– Peter L. Bartlett, Philip M. Long, Robert C. Williamson
 1996
