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CVPR
2009
IEEE
16 years 10 months ago
Learning Optimized MAP Estimates in Continuously-Valued MRF Models
We present a new approach for the discriminative training of continuous-valued Markov Random Field (MRF) model parameters. In our approach we train the MRF model by optimizing t...
Kegan G. G. Samuel, Marshall F. Tappen
VEE
2005
ACM
174views Virtualization» more  VEE 2005»
15 years 8 months ago
PDS: a virtual execution environment for software deployment
The Progressive Deployment System (PDS) is a virtual execution environment and infrastructure designed specifically for deploying software, or “assets”, on demand while enabli...
Bowen Alpern, Joshua S. Auerbach, Vasanth Bala, Th...
149
Voted
AI
2006
Springer
15 years 6 months ago
Partial Local FriendQ Multiagent Learning: Application to Team Automobile Coordination Problem
Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
Julien Laumonier, Brahim Chaib-draa
135
Voted
ACOM
2006
Springer
15 years 9 months ago
Adaptiveness in Agent Communication: Application and Adaptation of Conversation Patterns
Communication in multi-agent systems (MASs) is usually governed by agent communication languages (ACLs) and communication protocols carrying a clear cut semantics. With an increasi...
Felix A. Fischer, Michael Rovatsos, Gerhard Wei&sz...
ICML
2008
IEEE
16 years 3 months ago
Beam sampling for the infinite hidden Markov model
The infinite hidden Markov model is a nonparametric extension of the widely used hidden Markov model. Our paper introduces a new inference algorithm for the infinite Hidden Markov...
Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubi...