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» Optimizing Complex Loss Functions in Structured Prediction
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ICMCS
2006
IEEE
101views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Video Transcoding for Packet Loss Resilience Based on the Multiple Descriptions
This paper proposes error resilient video transcoding structures based on the multiple description (MD) scheme. Two structures are proposed for different use, namely low complexit...
Il Kim, Nam Cho
IJCNN
2007
IEEE
14 years 1 months ago
Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent
—The 0/1 loss is an important cost function for perceptrons. Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms. In this paper, we propose...
Ling Li, Hsuan-Tien Lin
JCSS
2006
77views more  JCSS 2006»
13 years 7 months ago
Sequential predictions based on algorithmic complexity
This paper studies sequence prediction based on the monotone Kolmogorov complexity Km=-log m, i.e. based on universal deterministic/one-part MDL. m is extremely close to Solomonof...
Marcus Hutter
APBC
2004
173views Bioinformatics» more  APBC 2004»
13 years 9 months ago
RNA Secondary Structure Prediction with Simple Pseudoknots
Pseudoknots are widely occurring structural motifs in RNA. Pseudoknots have been shown to be functionally important in different RNAs which play regulatory, catalytic, or structur...
Jitender S. Deogun, Ruben Donts, Olga Komina, Fang...
IEAAIE
2010
Springer
13 years 5 months ago
S.cerevisiae Complex Function Prediction with Modular Multi-Relational Framework
Gene functions is an essential knowledge for understanding how metabolism works and designing treatments for solving malfunctions. The Modular Multi-Relational Framework (MMRF) is ...
Beatriz García Jiménez, Agapito Lede...