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ICCV
2007
IEEE
16 years 19 days ago
Co-Tracking Using Semi-Supervised Support Vector Machines
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
Feng Tang, Shane Brennan, Qi Zhao, Hai Tao
ECTEL
2006
Springer
15 years 10 months ago
The AtGentive Project: Attentive Agents for Collaborative Learners
Abstract. Attention, which intervenes at many different levels such as the perception of the environment and the allocation of cognitive resources, appears to represent one of the ...
Claudia Roda, Thierry Nabeth
IWLCS
2000
Springer
15 years 10 months ago
Strength and Money: An LCS Approach to Increasing Returns
This paper reports on a number of experiments where three different groups of artificial agents learn, forecast and trade their holdings in a real stock market scenario given exoge...
Sonia Schulenburg, Peter Ross
ICML
2010
IEEE
15 years 4 months ago
Approximate Predictive Representations of Partially Observable Systems
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
Monica Dinculescu, Doina Precup
152
Voted
IUI
2009
ACM
16 years 3 months ago
Fixing the program my computer learned: barriers for end users, challenges for the machine
The results of a machine learning from user behavior can be thought of as a program, and like all programs, it may need to be debugged. Providing ways for the user to debug it mat...
Todd Kulesza, Weng-Keen Wong, Simone Stumpf, Steph...