Sciweavers

89 search results - page 10 / 18
» Margin-Based Active Learning for Structured Output Spaces
Sort
View
BIOINFORMATICS
2006
124views more  BIOINFORMATICS 2006»
14 years 11 months ago
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Neil D. Lawrence, Magnus Rattra...
ICML
2002
IEEE
16 years 14 days ago
Coordinated Reinforcement Learning
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
Carlos Guestrin, Michail G. Lagoudakis, Ronald Par...
AR
2007
105views more  AR 2007»
14 years 11 months ago
Reinforcement learning of a continuous motor sequence with hidden states
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 1 days ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
AAAI
1996
15 years 29 days ago
Dynamically Sequencing an Animated Pedagogical Agent
One of the most promising opportunities introduced by rapid advances in knowledge-based learning environments and multimedia technologies is the possibility of creating animated p...
Brian A. Stone, James C. Lester