2683 search results - page 141 / 537 » Machine learning problems from optimization perspective |
142
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...
118
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WSC
2008
15 years 4 months ago
2008
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
132
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ML
1998
ACM
15 years 2 months ago
1998
ACM
It is well known that prior knowledge or bias can speed up learning, at least in theory. It has proved di cult to make constructive use of prior knowledge, so that approximately c...
125
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MLDM
2007
Springer
15 years 8 months ago
2007
Springer
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
149
Voted
ICML
1999
IEEE
16 years 3 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...