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AAAI
1996
15 years 4 months ago
Generation of Attributes for Learning Algorithms
Inductive algorithms rely strongly on their representational biases, Constructive induction can mitigate representational inadequacies. This paper introduces the notion of a relat...
Yuh-Jyh Hu, Dennis F. Kibler
125
Voted
ICML
2010
IEEE
15 years 4 months ago
Learning Programs: A Hierarchical Bayesian Approach
We are interested in learning programs for multiple related tasks given only a few training examples per task. Since the program for a single task is underdetermined by its data, ...
Percy Liang, Michael I. Jordan, Dan Klein
122
Voted
PR
2006
101views more  PR 2006»
15 years 3 months ago
Feature-based approach to semi-supervised similarity learning
For the management of digital document collections, automatic database analysis still has ties to deal with semantic queries and abstract concepts that users are looking for. When...
Philippe Henri Gosselin, Matthieu Cord
117
Voted
HICSS
2010
IEEE
208views Biometrics» more  HICSS 2010»
15 years 10 months ago
Using Personality Factors to Predict Interface Learning Performance
This current study explored the impact of individual differences in personality factors on interface interaction and learning performance in both an interactive visualization and ...
Tera Marie Green, Dong Hyun Jeong, Brian Fisher
108
Voted
SAT
2009
Springer
113views Hardware» more  SAT 2009»
15 years 10 months ago
Clause-Learning Algorithms with Many Restarts and Bounded-Width Resolution
Abstract. We offer a new understanding of some aspects of practical SAT-solvers that are based on DPLL with unit-clause propagation, clause-learning, and restarts. On the theoreti...
Albert Atserias, Johannes Klaus Fichte, Marc Thurl...