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CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 4 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
ENTCS
2006
231views more  ENTCS 2006»
15 years 4 months ago
SaveCCM: An Analysable Component Model for Real-Time Systems
Component based development is a promising approach for embedded systems. Typical for embedded software is the presence of resource constraints in multiple dimensions. An essentia...
Jan Carlson, John Håkansson, Paul Pettersson
INFORMATICALT
2008
162views more  INFORMATICALT 2008»
15 years 4 months ago
Vague Rough Set Techniques for Uncertainty Processing in Relational Database Model
Abstract. The study of databases began with the design of efficient storage and data sharing techniques for large amount of data. This paper concerns the processing of imprecision ...
Karan Singh, Samajh Singh Thakur, Mangi Lal
130
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COGSCI
2007
87views more  COGSCI 2007»
15 years 4 months ago
Explaining Color Term Typology With an Evolutionary Model
An expression-induction model was used to simulate the evolution of basic color terms to test Berlin and Kay’s (1969) hypothesis that the typological patterns observed in basic ...
Mike Dowman
JAIR
2008
103views more  JAIR 2008»
15 years 4 months ago
ICE: An Expressive Iterative Combinatorial Exchange
We present the design and analysis of the first fully expressive, iterative combinatorial exchange (ICE). The exchange incorporates a tree-based bidding language (TBBL) that is co...
Benjamin Lubin, Adam I. Juda, Ruggiero Cavallo, S&...