93 search results - page 10 / 19 » Discovering Structure in Multiple Learning Tasks: The TC Alg... |
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
72
Voted
ARTMED
2006
14 years 9 months ago
2006
Manual classification of free-text documents within a predefined hierarchy is highly time consuming. This is especially true for clinical guidelines, which are often indexed by mu...
CATE
2004
14 years 11 months ago
2004
Recently web-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied to these databases to discover interesting associations...
PAMI
2010
14 years 8 months ago
2010
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...