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» Variational methods for Reinforcement Learning
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NIPS
2008
13 years 9 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
IROS
2007
IEEE
100views Robotics» more  IROS 2007»
14 years 2 months ago
Incremental behavior acquisition based on reliability of observed behavior recognition
— We propose a novel approach for acquisition and development of behaviors through observation in multi-agent environment. Observed behaviors of others give fruitful hints for a ...
Tomoki Nishi, Yasutake Takahashi, Minoru Asada
RAID
2000
Springer
13 years 11 months ago
Adaptive, Model-Based Monitoring for Cyber Attack Detection
Inference methods for detecting attacks on information resources typically use signature analysis or statistical anomaly detection methods. The former have the advantage of attack...
Alfonso Valdes, Keith Skinner
AAAI
2006
13 years 9 months ago
Hard Constrained Semi-Markov Decision Processes
In multiple criteria Markov Decision Processes (MDP) where multiple costs are incurred at every decision point, current methods solve them by minimising the expected primary cost ...
Wai-Leong Yeow, Chen-Khong Tham, Wai-Choong Wong
CAIP
2009
Springer
209views Image Analysis» more  CAIP 2009»
14 years 2 months ago
Smooth Multi-Manifold Embedding for Robust Identity-Independent Head Pose Estimation
In this paper, we propose a supervised Smooth Multi-Manifold Embedding (SMME) method for robust identity-independent head pose estimation. In order to handle the appearance variati...
Xiangyang Liu, Hongtao Lu, Heng Luo