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ICML
2008
IEEE
14 years 8 months ago
Learning all optimal policies with multiple criteria
We describe an algorithm for learning in the presence of multiple criteria. Our technique generalizes previous approaches in that it can learn optimal policies for all linear pref...
Leon Barrett, Srini Narayanan
IJCV
2006
142views more  IJCV 2006»
13 years 7 months ago
Geometry and Convergence Analysis of Algorithms for Registration of 3D Shapes
The computation of a rigid body transformation which optimally aligns a set of measurement points with a surface and related registration problems are studied from the viewpoint o...
Helmut Pottmann, Qi-Xing Huang, Yong-Liang Yang, S...
JMLR
2002
106views more  JMLR 2002»
13 years 7 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
CORR
2012
Springer
170views Education» more  CORR 2012»
12 years 3 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
DAC
2005
ACM
13 years 9 months ago
Piece-wise approximations of RLCK circuit responses using moment matching
Capturing RLCK circuit responses accurately with existing model order reduction (MOR) techniques is very expensive. Direct metrics for fast analysis of RC circuits exist but there...
Chirayu S. Amin, Yehea I. Ismail, Florentin Dartu