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SIGIR
2004
ACM
14 years 1 months ago
GaP: a factor model for discrete data
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
John F. Canny
ISLPED
2009
ACM
108views Hardware» more  ISLPED 2009»
14 years 9 days ago
Technology flavor selection and adaptive techniques for timing-constrained 45nm subthreshold circuits
We investigate techniques to design 45nm minimum-energy subthreshold CMOS circuits under timing constraints, considering the practical case of an 8-bit multiplier. We first show ...
David Bol, Denis Flandre, Jean-Didier Legat
HAIS
2009
Springer
14 years 7 days ago
Pareto-Based Multi-output Model Type Selection
In engineering design the use of approximation models (= surrogate models) has become standard practice for design space exploration, sensitivity analysis, visualization and optimi...
Dirk Gorissen, Ivo Couckuyt, Karel Crombecq, Tom D...
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
13 years 12 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...
COLT
1992
Springer
13 years 11 months ago
Learning Switching Concepts
We consider learning in situations where the function used to classify examples may switch back and forth between a small number of different concepts during the course of learnin...
Avrim Blum, Prasad Chalasani