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ECML
2006
Springer
13 years 11 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
FM
2006
Springer
133views Formal Methods» more  FM 2006»
13 years 11 months ago
Enforcer - Efficient Failure Injection
Non-determinism of the thread schedule is a well-known problem in concurrent programming. However, other sources of non-determinism exist which cannot be controlled by an applicati...
Cyrille Artho, Armin Biere, Shinichi Honiden
CAIP
2003
Springer
247views Image Analysis» more  CAIP 2003»
13 years 11 months ago
Object Classification and Tracking in Video Surveillance
The design of a video surveillance system is directed on automatic identification of events of interest, especially on tracking and classification of moving vehicles or pedestrian...
Qi Zang, Reinhard Klette
IFIP
2000
Springer
13 years 11 months ago
Collaborative Practice Research
: This paper reports from a systems development research tradition in which emphasis is put on relating research activities to practice and on establishing fruitful collaboration b...
Lars Mathiassen
KDD
1995
ACM
99views Data Mining» more  KDD 1995»
13 years 11 months ago
Active Data Mining
We introduce an active data mining paradigm that combines the recent work in data mining with the rich literature on active database systems. In this paradigm, data is continuousl...
Rakesh Agrawal, Giuseppe Psaila