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» On Learning Boolean Functions
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ESOP
2001
Springer
15 years 2 months ago
The Def-inite Approach to Dependency Analysis
Abstract. We propose a new representation for the domain of Definite Boolean functions. The key idea is to view the set of models of a Boolean function as an incidence relation be...
Samir Genaim, Michael Codish
ALGORITHMICA
2010
107views more  ALGORITHMICA 2010»
14 years 10 months ago
Capabilities and Limits of Compact Error Resilience Methods for Algorithmic Self-Assembly
Abstract Winfree's pioneering work led the foundations in the area of errorreduction in algorithmic self-assembly (Winfree and Bekbolatov in DNA Based Computers 9, LNCS, vol. ...
Sudheer Sahu, John H. Reif
DAC
2005
ACM
15 years 10 months ago
Structural search for RTL with predicate learning
We present an efficient search strategy for satisfiability checking on circuits represented at the register-transfer-level (RTL). We use the RTL circuit structure by extending con...
Ganapathy Parthasarathy, Madhu K. Iyer, Kwang-Ting...
COLT
1991
Springer
15 years 1 months ago
Learning Probabilistic Read-Once Formulas on Product Distributions
Abstract. This paper presents a polynomial-time algorithm for inferring a probabilistic generalization of the class of read-once Boolean formulas over the usual basis {AND,OR,NOT}....
Robert E. Schapire
COLT
2003
Springer
15 years 3 months ago
Learning Random Log-Depth Decision Trees under the Uniform Distribution
We consider three natural models of random logarithmic depth decision trees over Boolean variables. We give an efficient algorithm that for each of these models learns all but an ...
Jeffrey C. Jackson, Rocco A. Servedio