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» Exploiting nonstationarity for performance prediction
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73
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ISMB
2004
14 years 11 months ago
Exploiting conserved structure for faster annotation of non-coding RNAs without loss of accuracy
Motivation: Non-coding RNAs (ncRNAs)--functional RNA molecules not coding for proteins--are grouped into hundreds of families of homologs. To find new members of an ncRNA gene fam...
Zasha Weinberg, Walter L. Ruzzo
AAMAS
2005
Springer
14 years 9 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
ICASSP
2011
IEEE
14 years 1 months ago
Grassmannian predictive coding for limited feedback multiuser MIMO systems
Grassmannian beamforming is an efficient way to quantize channel state information in multiple-input multiple-output wireless systems. Unfortunately, multiuser systems require la...
Takao Inoue, Robert W. Heath Jr.
80
Voted
KI
2004
Springer
15 years 3 months ago
Using Behavioral Knowledge for Situated Prediction of Movements
Abstract. The textual description of video sequences exploits conceptual knowledge about the behavior of depicted agents. An explicit representation of such behavioral knowledge fa...
Michael Arens, Artur Ottlik, Hans-Hellmut Nagel
CVPR
2012
IEEE
13 years 2 days ago
Complex loss optimization via dual decomposition
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
Mani Ranjbar, Arash Vahdat, Greg Mori