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114
Voted
COLT
2008
Springer
15 years 5 months ago
2008
Springer
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
124
Voted
ML
2010
ACM
15 years 2 months ago
2010
ACM
This paper presents a cooperative evolutionary approach for the problem of instance selection for instance based learning. The presented model takes advantage of one of the most r...
113
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
This paper aims to conduct a study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimi...
128
Voted
INFORMATICASI
2002
15 years 3 months ago
2002
Image categorization is the problem of classifying images into one or more of several possible categories or classes, which are defined in advance. Classifiers can be trained usin...
123
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...