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ATAL
2010
Springer
15 years 8 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
PKDD
2010
Springer
188views Data Mining» more  PKDD 2010»
15 years 5 months ago
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction
ervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction Pavel Kuksa1 , Yanjun Qi2 , Bing Bai2 , Ronan Collobert2 , Jason Weston3 , Vladimir Pavlovic1 , ...
Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobe...
CVPR
1997
IEEE
16 years 8 months ago
Learning Parameterized Models of Image Motion
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
Michael J. Black, Yaser Yacoob, Allan D. Jepson, D...
184
Voted
JMLR
2006
103views more  JMLR 2006»
15 years 6 months ago
On Model Selection Consistency of Lasso
Sparsity or parsimony of statistical models is crucial for their proper interpretations, as in sciences and social sciences. Model selection is a commonly used method to find such...
Peng Zhao, Bin Yu
ACMSE
2006
ACM
16 years 23 days ago
Mobility models for vehicular ad hoc network simulations
: There is a growing interest in deployment and evaluation of routing protocols for Vehicular Ad-Hoc Wireless Networks (VANETs) in urban contexts. The mobility model of nodes is on...
Niranjan Potnis, Atulya Mahajan