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» Learning Action Selection Network of Intelligent Agent
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AAAI
2006
15 years 3 months ago
Thresholding for Making Classifiers Cost-sensitive
In this paper we propose a very simple, yet general and effective method to make any cost-insensitive classifiers (that can produce probability estimates) cost-sensitive. The meth...
Victor S. Sheng, Charles X. Ling
APPT
2005
Springer
15 years 7 months ago
SIP-Based Adaptive Multimedia Transmissions for Wired and Wireless Networks
SIP (Session Initiation Protocol) is a signaling protocol standardized by IETF, aiming to manage the multimedia transmission sessions among different parties. This paper illustrate...
Weijia Jia, Man-Ching Yuen
121
Voted
WSOM
2009
Springer
15 years 8 months ago
Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ
Vector quantization methods are confronted with a model selection problem, namely the number of prototypical feature representatives to model each class. In this paper we present a...
Alexander Denecke, Heiko Wersing, Jochen J. Steil,...
93
Voted
CIMCA
2005
IEEE
15 years 7 months ago
Hybrid Neural Networks for Immunoinformatics
Hybrid set of optimally trained feed-forward, Hopfield and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks ena...
Khrizel B. Solano, Tolja Djekovic, Mohamed Zohdy
ATAL
2011
Springer
14 years 1 months ago
Game theory-based opponent modeling in large imperfect-information games
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
Sam Ganzfried, Tuomas Sandholm