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ICML
2006
IEEE
16 years 7 months ago
Experience-efficient learning in associative bandit problems
We formalize the associative bandit problem framework introduced by Kaelbling as a learning-theory problem. The learning environment is modeled as a k-armed bandit where arm payof...
Alexander L. Strehl, Chris Mesterharm, Michael L. ...
ICML
2005
IEEE
16 years 7 months ago
Learn to weight terms in information retrieval using category information
How to assign appropriate weights to terms is one of the critical issues in information retrieval. Many term weighting schemes are unsupervised. They are either based on the empir...
Rong Jin, Joyce Y. Chai, Luo Si
ISBI
2008
IEEE
16 years 7 months ago
Segmentation of the evolving left ventricle by learning the dynamics
We propose a method for recursive segmentation of the left ventricle (LV) across a temporal sequence of magnetic resonance (MR) images. The approach involves a technique for learn...
Walter Sun, Müjdat Çetin, Raymond Chan...
CHI
2008
ACM
16 years 7 months ago
Augmented information assimilation: social and algorithmic web aids for the information long tail
To understand how and why individuals make use of emerging information assimilation services on the Web as part of their daily routine, we combined video recordings of online acti...
Brynn Evans, Stuart Card
VLSID
2004
IEEE
112views VLSI» more  VLSID 2004»
16 years 7 months ago
Profiling Driven Computation Reuse: An Embedded Software Synthesis Technique for Energy and Performance Optimization
It has been observed that even highly optimized software programs perform "redundant" computations during their execution, due to the nature (statistics) of the values a...
Weidong Wang, Anand Raghunathan, Niraj K. Jha