1474 search results - page 209 / 295 » Using Machine Learning to Focus Iterative Optimization |
125
Voted
CORR
2010
Springer
15 years 2 months ago
2010
Springer
In this paper, we consider the problem of planning and learning in the infinite-horizon discounted-reward Markov decision problems. We propose a novel iterative direct policysearc...
117
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
One of central topics of kernel machines in the field of machine learning is a model selection, especially a selection of a kernel or its parameters. In our previous work, we dis...
101
Voted
ECML
2005
Springer
15 years 8 months ago
2005
Springer
This paper argues that severe class imbalance is not just an interesting technical challenge that improved learning algorithms will address, it is much more serious. To be useful, ...
126
Voted
ICASSP
2010
IEEE
15 years 2 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
128
Voted
EMNLP
2009
15 years 16 days ago
2009
Many statistical translation models can be regarded as weighted logical deduction. Under this paradigm, we use weights from the expectation semiring (Eisner, 2002), to compute fir...