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» A Framework for Multiple-Instance Learning
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IVA
2009
Springer
16 years 1 months ago
Predicting User Psychological Characteristics from Interactions with Empathetic Virtual Agents
Enabling virtual agents to quickly and accurately infer users’ psychological characteristics such as their personality could support a broad range of applications in education, t...
Jennifer L. Robison, Jonathan P. Rowe, Scott W. Mc...
IWANN
2009
Springer
16 years 1 months ago
TEMMAS: The Electricity Market Multi-Agent Simulator
—This paper describes a multi-agent based simulation (MABS) framework to construct an artificial electric power market populated with learning agents. The artificial market, na...
Paulo Trigo, Paulo Marques, Helder Coelho
ICAIL
2009
ACM
16 years 1 months ago
Creating an argumentation corpus: do theories apply to real arguments?: a case study on the legal argumentation of the ECHR
Argumentation annotation is a crucial step in applying machine learning techniques to the argumentation field. However, there exist few argumentation corpora and their developmen...
Raquel Mochales Palau, Aagje Ieven
FGR
2008
IEEE
260views Biometrics» more  FGR 2008»
16 years 1 months ago
On the sustained tracking of human motion
In this paper, we propose an algorithm for sustained tracking of humans, where we combine frame-to-frame articulated motion estimation with a per-frame body detection algorithm. T...
Yaser Sheikh, Ankur Datta, Takeo Kanade
ICDM
2008
IEEE
110views Data Mining» more  ICDM 2008»
16 years 1 months ago
Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data
Class imbalance is a ubiquitous problem in supervised learning and has gained wide-scale attention in the literature. Perhaps the most prevalent solution is to apply sampling to t...
David A. Cieslak, Nitesh V. Chawla