151
Voted
ECML
15 years 4 months ago
2004 Springer 
Abstract. This paper presents an empirical study of population diversity measure and adaptive control of diversity in the context of a permutation-based algorithm for Traveling Sal...
136
Voted
ECML
15 years 4 months ago
2004 Springer 
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
125
Voted
ECML
15 years 6 months ago
2004 Springer
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
122
Voted
ECML
15 years 6 months ago
2004 Springer 
Although tabular reinforcement learning (RL) methods have been proved to converge to an optimal policy, the combination of particular conventional reinforcement learning techniques...
122
Voted
ECML
15 years 6 months ago
2004 Springer
This work presents a novel procedure for computing (1) distances between nodes of a weighted, undirected, graph, called the Euclidean Commute Time Distance (ECTD), and (2) a subspa...
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Machine Learning