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» On Learning Boolean Functions
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FLAIRS
2007
15 years 12 days ago
Learning to Identify Global Bottlenecks in Constraint Satisfaction Search
Using information from failures to guide subsequent search is an important technique for solving combinatorial problems in domains such as boolean satisfiability (SAT) and constr...
Diarmuid Grimes, Richard J. Wallace
ICML
2004
IEEE
15 years 11 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
ATAL
2008
Springer
15 years 2 days ago
Graph Laplacian based transfer learning in reinforcement learning
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
Yi-Ting Tsao, Ke-Ting Xiao, Von-Wun Soo
DATE
2004
IEEE
123views Hardware» more  DATE 2004»
15 years 1 months ago
Synthesis and Optimization of Threshold Logic Networks with Application to Nanotechnologies
We propose an algorithm for efficient threshold network synthesis of arbitrary multi-output Boolean functions. The main purpose of this work is to bridge the wide gap that currentl...
Rui Zhang, Pallav Gupta, Lin Zhong, Niraj K. Jha
ICALP
2010
Springer
15 years 2 days ago
Choosing, Agreeing, and Eliminating in Communication Complexity
We consider several questions inspired by the direct-sum problem in (two-party) communication complexity. In all questions, there are k fixed Boolean functions f1, . . . , fk and ...
Amos Beimel, Sebastian Ben Daniel, Eyal Kushilevit...