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ICML
2007
IEEE
16 years 3 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
121
Voted
IDA
2009
Springer
15 years 9 months ago
Estimating Markov Random Field Potentials for Natural Images
Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
Urs Köster, Jussi T. Lindgren, Aapo Hyvä...
138
Voted
INFOCOM
2008
IEEE
15 years 9 months ago
Capacity of Asynchronous Random-Access Scheduling in Wireless Networks
Abstract—We study the throughput capacity of wireless networks which employ (asynchronous) random-access scheduling as opposed to deterministic scheduling. The central question w...
Deepti Chafekar, Dave Levin, V. S. Anil Kumar, Mad...
125
Voted
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 8 months ago
On the behavioral diversity of random programs
Generating a random sampling of program trees with specified function and terminal sets is the initial step of many program evolution systems. I present a theoretical and experim...
Moshe Looks
158
Voted
ICRA
1995
IEEE
188views Robotics» more  ICRA 1995»
15 years 6 months ago
Fast Approximation of Range Images by Triangular Meshes Generated through Adaptive Randomized Sampling
This paper describes and evaluates an efficient technique that allows the fast generation of 3D triangular meshes from range images avoiding optimization procedures. Such a tool ...
Miguel Angel García