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» A Framework for Multiple-Instance Learning
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AAMAS
2004
Springer
15 years 6 months ago
Automated Assistants for Analyzing Team Behaviors
Multi-agent teamwork is critical in a large number of agent applications, including training, education, virtual enterprises and collective robotics. The complex interactions of ag...
Ranjit Nair, Milind Tambe, Stacy Marsella, Taylor ...
ML
2010
ACM
127views Machine Learning» more  ML 2010»
15 years 4 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
CORR
2011
Springer
192views Education» more  CORR 2011»
15 years 1 months ago
Distribution-Independent Evolvability of Linear Threshold Functions
Valiant’s (2007) model of evolvability models the evolutionary process of acquiring useful functionality as a restricted form of learning from random examples. Linear threshold ...
Vitaly Feldman
WWW
2011
ACM
15 years 24 days ago
Automatic construction of a context-aware sentiment lexicon: an optimization approach
The explosion of Web opinion data has made essential the need for automatic tools to analyze and understand people’s sentiments toward different topics. In most sentiment analy...
Yue Lu, Malú Castellanos, Umeshwar Dayal, C...
CVPR
2008
IEEE
16 years 8 months ago
Regression from patch-kernel
In this paper, we present a patch-based regression framework for addressing the human age and head pose estimation problems. Firstly, each image is encoded as an ensemble of order...
Shuicheng Yan, Xi Zhou, Ming Liu, Mark Hasegawa-Jo...