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» Odefy -- From discrete to continuous models
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HICSS
2005
IEEE
147views Biometrics» more  HICSS 2005»
15 years 3 months ago
Branching Process Models for the Exponentially Increasing Portions of Cascading Failure Blackouts
We introduce branching process models in discrete and continuous time for the exponentially increasing phase of cascading blackouts. Cumulative line trips from real blackout data ...
Ian Dobson, Benjamin A. Carreras, David E. Newman
BMCBI
2008
166views more  BMCBI 2008»
14 years 9 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
SCP
1998
163views more  SCP 1998»
14 years 9 months ago
Computing with Continuous Change
A central challenge in computer science and knowledge representation is the integration of conceptual frameworks for continuous and discrete change, as exemplified by the theory ...
Vineet Gupta, Radha Jagadeesan, Vijay A. Saraswat
FGR
2011
IEEE
244views Biometrics» more  FGR 2011»
14 years 1 months ago
Emotion representation, analysis and synthesis in continuous space: A survey
— Despite major advances within the affective computing research field, modelling, analysing, interpreting and responding to naturalistic human affective behaviour still remains...
Hatice Gunes, Björn Schuller, Maja Pantic, Ro...
93
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FLAIRS
2008
14 years 12 months ago
Learning Continuous Action Models in a Real-Time Strategy Environment
Although several researchers have integrated methods for reinforcement learning (RL) with case-based reasoning (CBR) to model continuous action spaces, existing integrations typic...
Matthew Molineaux, David W. Aha, Philip Moore