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ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
14 years 2 months ago
Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference
Selecting promising queries is the key to effective active learning. In this paper, we investigate selection techniques for the task of learning an equivalence relation where the ...
Steffen Rendle, Lars Schmidt-Thieme
CVIU
2004
132views more  CVIU 2004»
13 years 7 months ago
Layered representations for learning and inferring office activity from multiple sensory channels
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
Nuria Oliver, Ashutosh Garg, Eric Horvitz
IBPRIA
2009
Springer
14 years 6 days ago
Inference and Learning for Active Sensing, Experimental Design and Control
In this paper we argue that maximum expected utility is a suitable framework for modeling a broad range of decision problems arising in pattern recognition and related fields. Exa...
Hendrik Kück, Matthew Hoffman, Arnaud Doucet,...
SIGUCCS
2000
ACM
13 years 12 months ago
Innovative Engineering Learning Center: Design Concepts and Outcomes
A new learning center has been designed and implemented based on extensive benchmarking and innovative design concepts. The design focused on computer-facilitated active learning ...
John N. Murphy, Alan J. Russell, Anthony B. Jones