716 search results - page 86 / 144 » Optimizing Sorting with Machine Learning Algorithms |
112
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
RELIEF is considered one of the most successful algorithms for assessing the quality of features. In this paper, we propose a set of new feature weighting algorithms that perform s...
128
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
137
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ICMLA
2010
15 years 4 days ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
104
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
114
Voted
ICMLA
2010
15 years 4 days ago
2010
Abstract--We study how to effectively integrate reinforcement learning (RL) and programming languages via adaptation-based programming, where programs can include non-deterministic...