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» Machine Learning Approaches for Inducing Student Models
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CVPR
2011
IEEE
14 years 3 months ago
Compact Hashing with Joint Optimization of Search Accuracy and Time
Similarity search, namely, finding approximate nearest neighborhoods, is the core of many large scale machine learning or vision applications. Recently, many research results dem...
Junfeng He, Regunathan Radhakrishnan, Shih-Fu Chan...
ECWEB
2011
Springer
277views ECommerce» more  ECWEB 2011»
13 years 11 months ago
Trust-Based Selection of Partners
The community of multi-agent systems has been studying ways to improve the selection of partner agents for joint action. One of such approaches consists in estimating the trustwort...
Joana Urbano, Ana Paula Rocha, Eugénio C. O...
IJMMS
2008
80views more  IJMMS 2008»
14 years 11 months ago
Real-time classification of evoked emotions using facial feature tracking and physiological responses
We present automated, real-time models built with machine learning algorithms which use videotapes of subjects' faces in conjunction with physiological measurements to predic...
Jeremy N. Bailenson, Emmanuel D. Pontikakis, Iris ...
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
16 years 8 days ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
AIR
2004
113views more  AIR 2004»
14 years 11 months ago
Class Noise vs. Attribute Noise: A Quantitative Study
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
Xingquan Zhu, Xindong Wu