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AAAI
1998
15 years 8 months ago
A Feature-Based Learning Method for Theorem Proving
Automatedreasoning or theorem proving essentially amounts to solving search problems. Despite significant progress in recent years theorem provers still have manyshortcomings. The...
Matthias Fuchs
SERP
2003
15 years 8 months ago
Specification of the Verity Learning Companion and Self-Assessment Tool
In this paper, the specification of Verity, a webbased instructional tool, is presented. Verity is intended to be used as a learning assistant and self-assessment tool, more than ...
Sergiu Dascalu, Daniela Saru, Ryan Simpson, Justin...
ICONIP
1998
15 years 8 months ago
A Comparison of Learning Transfer in Networks and Humans
Learning transfer is the improvement in performance on one task having learnt a related task. That the degree of transfer is signi cantly greater in humans than other primates and...
Steven Phillips
UAI
1998
15 years 8 months ago
A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
Stefano Monti, Gregory F. Cooper
223
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SODA
2000
ACM
85views Algorithms» more  SODA 2000»
15 years 8 months ago
Improved bounds on the sample complexity of learning
We present a new general upper bound on the number of examples required to estimate all of the expectations of a set of random variables uniformly well. The quality of the estimat...
Yi Li, Philip M. Long, Aravind Srinivasan