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BIOINFORMATICS
2007
83views more  BIOINFORMATICS 2007»
15 years 6 months ago
Exploring biological network structure using exponential random graph models
Motivation: The functioning of biological networks depends in large part on their complex underlying structure. When studying their systemic nature many modeling approaches focus ...
Zachary M. Saul, Vladimir Filkov
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 6 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
CII
2006
141views more  CII 2006»
15 years 6 months ago
FPGA-based tool path computation: An application for shoe last machining on CNC lathes
Tool path generation is one of the most complex problems in Computer Aided Manufacturing. Although some efficient strategies have been developed, most of them are only useful for s...
Antonio Jimeno, José Luis Sánchez, H...
ENTCS
2006
101views more  ENTCS 2006»
15 years 6 months ago
Mumbo: A Rule-Based Implementation of a Run-time Program Generation Language
We describe our efforts to use rule-based programming to produce a model of Jumbo, a run-time program generation (RTPG) system for Java. Jumbo incorporates RTPG following the simp...
Baris Aktemur, Samuel N. Kamin
MAGS
2008
64views more  MAGS 2008»
15 years 6 months ago
A multi-issue negotiation protocol among agents with nonlinear utility functions
Multi-Issue Negotiation protocols have been studied very widely and represent a promising field since most of negotiation problems in the realworld are complex ones including mult...
Takayuki Ito, Mark Klein, Hiromitsu Hattori