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» A competitive neural model of small number detection
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AAAI
2008
13 years 9 months ago
Hidden Dynamic Probabilistic Models for Labeling Sequence Data
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...
Xiaofeng Yu, Wai Lam
ATAL
2011
Springer
12 years 7 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
ACL
2012
11 years 9 months ago
Automatic Event Extraction with Structured Preference Modeling
This paper presents a novel sequence labeling model based on the latent-variable semiMarkov conditional random fields for jointly extracting argument roles of events from texts. ...
Wei Lu, Dan Roth
ICDCSW
2007
IEEE
14 years 1 months ago
Building Trust in Online Rating Systems Through Signal Modeling
Abstract— Online feedback-based rating systems are gaining popularity. Dealing with unfair ratings in such systems has been recognized as an important but difficult problem. Thi...
Yafei Yang, Yan Lindsay Sun, Jin Ren, Qing Yang
INFOCOM
2006
IEEE
14 years 1 months ago
Detecting Stations Cheating on Backoff Rules in 802.11 Networks Using Sequential Analysis
— As the commercial success of the IEEE 802.11 protocol has made wireless infrastructure widely deployed, user organizations are increasingly concerned about the new vulnerabilit...
Yanxia Rong, Sang Kyu Lee, Hyeong-Ah Choi