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FLAIRS
2008
13 years 9 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
FGR
2004
IEEE
87views Biometrics» more  FGR 2004»
13 years 11 months ago
Transition Movement Models for Large Vocabulary Continuous Sign Language Recognition
The major challenges that sign language recognition (SLR) now faces are developing methods that solve large vocabulary continuous sign problems. In this paper, large vocabulary co...
Wen Gao, Gaolin Fang, Debin Zhao, Yiqiang Chen
IBPRIA
2003
Springer
14 years 19 days ago
Chromosome Classification Using Continuous Hidden Markov Models
Up-to-date results on the application of Markov models to chromosome analysis are presented. On the one hand, this means using continuous Hidden Markov Models (HMMs) instead of dis...
César Martínez, Héctor Garc&i...
BPM
2008
Springer
164views Business» more  BPM 2008»
13 years 9 months ago
Analyzing Business Continuity through a Multi-layers Model
Business Continuity Management (BCM) is a process to manage risks, emergencies, and recovery plans of an organization during a crisis. It results in a document called Business Cont...
Yudistira Asnar, Paolo Giorgini
NIPS
1998
13 years 8 months ago
Learning a Continuous Hidden Variable Model for Binary Data
A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
Daniel D. Lee, Haim Sompolinsky