2103 search results - page 37 / 421 » Approximate Learning of Dynamic Models |
100
click to vote
AIPS
2006
15 years 3 months ago
2006
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
140
click to vote
ECAI
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
126
click to vote
ICMLA
2009
14 years 11 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
116
click to vote
CVPR
2006
IEEE
16 years 4 months ago
2006
IEEE
Multi-camera tracking systems often must maintain consistent identity labels of the targets across views to recover 3D trajectories and fully take advantage of the additional info...
158
click to vote
BMCBI
2011
14 years 5 months ago
2011
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...