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» Inference and Learning for Active Sensing, Experimental Desi...
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IUI
2005
ACM
13 years 11 months ago
Active preference learning for personalized calendar scheduling assistance
We present PLIANT, a learning system that supports adaptive assistance in an open calendaring system. PLIANT learns user preferences from the feedback that naturally occurs during...
Melinda T. Gervasio, Michael D. Moffitt, Martha E....
ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
14 years 16 days ago
Noise Modeling with Associative Corruption Rules
This paper presents an active learning approach to the problem of systematic noise inference and noise elimination, specifically the inference of Associated Corruption (AC) rules...
Yan Zhang, Xindong Wu
SIGIR
2008
ACM
13 years 6 months ago
Personalized active learning for collaborative filtering
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abhay Harpale, Yiming Yang
MOBISYS
2008
ACM
14 years 5 months ago
Sixthsense: rfid-based enterprise intelligence
RFID is widely used to track the movement of goods through a supply chain. In this paper, we extend the domain of RFID by presenting SixthSense, a platform for RFID-based enterpri...
Lenin Ravindranath, Venkata N. Padmanabhan, Piyush...
GECCO
2003
Springer
158views Optimization» more  GECCO 2003»
13 years 11 months ago
Active Control of Thermoacoustic Instability in a Model Combustor with Neuromorphic Evolvable Hardware
Continuous Time Recurrent Neural Networks (CTRNNs) have previously been proposed as an enabling paradigm for evolving analog electrical circuits to serve as controllers for physica...
John C. Gallagher, Saranyan Vigraham