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101
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DAC
2010
ACM
15 years 6 months ago
Lattice-based computation of Boolean functions
This paper studies the implementation of Boolean functions with lattices of two-dimensional switches. Each switch is controlled by a Boolean literal. If the literal is 1, the swit...
Mustafa Altun, Marc D. Riedel
119
Voted
NIPS
2003
15 years 4 months ago
Gene Expression Clustering with Functional Mixture Models
We propose a functional mixture model for simultaneous clustering and alignment of sets of curves measured on a discrete time grid. The model is specifically tailored to gene exp...
Darya Chudova, Christopher E. Hart, Eric Mjolsness...
ICCAD
2010
IEEE
156views Hardware» more  ICCAD 2010»
15 years 18 days ago
Boolean matching of function vectors with strengthened learning
Boolean matching for multiple-output functions determines whether two given (in)completely-specified function vectors can be identical to each other under permutation and/or negat...
Chih-Fan Lai, Jie-Hong R. Jiang, Kuo-Hua Wang
197
Voted
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 6 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
135
Voted
ICCAD
2002
IEEE
176views Hardware» more  ICCAD 2002»
15 years 11 months ago
High capacity and automatic functional extraction tool for industrial VLSI circuit designs
In this paper we present an advanced functional extraction tool for automatic generation of high-level RTL from switch-level circuit netlist representation. The tool is called FEV...
Sasha Novakovsky, Shy Shyman, Ziyad Hanna