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» Influences of monotone Boolean functions
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IJCAI
1997
13 years 9 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
ECCC
2010
124views more  ECCC 2010»
13 years 7 months ago
Lower Bounds and Hardness Amplification for Learning Shallow Monotone Formulas
Much work has been done on learning various classes of "simple" monotone functions under the uniform distribution. In this paper we give the first unconditional lower bo...
Vitaly Feldman, Homin K. Lee, Rocco A. Servedio
ECAI
2000
Springer
13 years 12 months ago
Search Pruning Conditions for Boolean Optimization
This paper proposes new algorithms for the Binate Covering Problem (BCP), a well-known restriction of Boolean Optimization. Binate Covering finds application in many areas of Com...
Vasco M. Manquinho, João P. Marques Silva
AMAI
2000
Springer
13 years 11 months ago
On Solving Boolean Optimization with Satisfiability-Based Algorithms
This paper proposes new algorithms for the Binate Covering Problem (BCP), a well-known restriction of Boolean Optimization. Binate Covering finds application in many areas of Comp...
Vasco M. Manquinho, João P. Marques Silva
JCT
2010
81views more  JCT 2010»
13 years 6 months ago
On the probability of a rational outcome for generalized social welfare functions on three alternatives
In [11], Kalai investigated the probability of a rational outcome for a generalized social welfare function (GSWF) on three alternatives, when the individual preferences are unifo...
Nathan Keller