716 search results - page 56 / 144 » Optimizing Sorting with Machine Learning Algorithms |
102
Voted
ALT
2008
Springer
15 years 11 months ago
2008
Springer
Abstract. We consider an upper confidence bound algorithm for Markov decision processes (MDPs) with deterministic transitions. For this algorithm we derive upper bounds on the onl...
127
Voted
MLDM
2007
Springer
15 years 8 months ago
2007
Springer
In this paper we propose a new criterion, based on Minimum Description Length (MDL), to estimate an optimal number of clusters. This criterion, called Kernel MDL (KMDL), is particu...
128
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
106
Voted
AUSAI
2008
Springer
15 years 4 months ago
2008
Springer
Abstract. The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms...
109
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NECO
2008
15 years 2 months ago
2008
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...