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CORR
2008
Springer
107views Education» more  CORR 2008»
14 years 9 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
FSS
2008
110views more  FSS 2008»
14 years 9 months ago
Learning valued preference structures for solving classification problems
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
Eyke Hüllermeier, Klaus Brinker
CAL
2006
14 years 9 months ago
Performance modeling using Monte Carlo simulation
Abstract-- Cycle accurate simulation has long been the primary tool for micro-architecture design and evaluation. Though accurate, the slow speed often imposes constraints on the e...
Ram Srinivasan, Jeanine Cook, Olaf M. Lubeck
COMPUTING
2006
112views more  COMPUTING 2006»
14 years 9 months ago
Fast Summation of Radial Functions on the Sphere
Radial functions are a powerful tool in many areas of multidimensional approximation, especially when dealing with scattered data. We present a fast approximate algorithm for the ...
Jens Keiner, Stefan Kunis, Daniel Potts
JLP
2006
81views more  JLP 2006»
14 years 9 months ago
Development graphs - Proof management for structured specifications
Development graphs are a tool for dealing with structured specifications in a formal program development in order to ease the management of change and reusing proofs. In this work...
Till Mossakowski, Serge Autexier, Dieter Hutter