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TMC
2012
13 years 10 months ago
A Statistical Mechanics-Based Framework to Analyze Ad Hoc Networks with Random Access
—Characterizing the performance of ad hoc networks is one of the most intricate open challenges; conventional ideas based on information-theoretic techniques and inequalities hav...
Sunil Srinivasa, Martin Haenggi
AAAI
2012
13 years 10 months ago
Learning Games from Videos Guided by Descriptive Complexity
In recent years, several systems have been proposed that learn the rules of a simple card or board game solely from visual demonstration. These systems were constructed for speciï...
Lukasz Kaiser
230
Voted
AAAI
2012
13 years 10 months ago
Discovering Constraints for Inductive Process Modeling
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
Ljupco Todorovski, Will Bridewell, Pat Langley
190
Voted
BMCBI
2008
97views more  BMCBI 2008»
15 years 7 months ago
Interrogating domain-domain interactions with parsimony based approaches
Background: The identification and characterization of interacting domain pairs is an important step towards understanding protein interactions. In the last few years, several met...
Katia S. Guimarães, Teresa M. Przytycka
CVPR
2006
IEEE
16 years 9 months ago
Meta-Evaluation of Image Segmentation Using Machine Learning
Image segmentation is a fundamental step in many computer vision applications. Generally, the choice of a segmentation algorithm, or parameterization of a given algorithm, is sele...
Hui Zhang, Sharath R. Cholleti, Sally A. Goldman, ...