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» A New Way to Introduce Knowledge into Reinforcement Learning
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ICMCS
2006
IEEE
371views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Automatic Counting of Interacting People by using a Single Uncalibrated Camera
Automatic counting of people, entering or exiting a region of interest, is very important for both business and security applications. This paper introduces an automatic and robus...
Senem Velipasalar, Ying-li Tian, Arun Hampapur
JUCS
2010
97views more  JUCS 2010»
14 years 8 months ago
Usage-based Object Similarity
: Recommender systems are widely used online to support users in finding relevant information. They can be based on different techniques such as content-based and collaborative ...
Katja Niemann, Maren Scheffel, Martin Friedrich, U...
82
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COLT
1995
Springer
15 years 1 months ago
Regression NSS: An Alternative to Cross Validation
The Noise Sensitivity Signature (NSS), originally introduced by Grossman and Lapedes (1993), was proposed as an alternative to cross validation for selecting network complexity. I...
Michael P. Perrone, Brian S. Blais
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
14 years 10 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
89
Voted
IJFCS
2006
130views more  IJFCS 2006»
14 years 9 months ago
Mealy multiset automata
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
Gabriel Ciobanu, Viorel Mihai Gontineac