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» Optimizing Complex Loss Functions in Structured Prediction
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GCB
2009
Springer
180views Biometrics» more  GCB 2009»
14 years 2 months ago
2D Projections of RNA Folding Landscapes
Abstract: The analysis of RNA folding landscapes yields insights into the kinetic folding behavior not available from classical structure prediction methods. This is especially imp...
Ronny Lorenz, Christoph Flamm, Ivo L. Hofacker
EVOW
2008
Springer
13 years 9 months ago
A Study of Some Implications of the No Free Lunch Theorem
We introduce the concept of "minimal" search algorithm for a set of functions to optimize. We investigate the structure of closed under permutation (c.u.p.) sets and we c...
Andrea Valsecchi, Leonardo Vanneschi
NAR
2011
214views Computer Vision» more  NAR 2011»
12 years 10 months ago
DAnCER: Disease-Annotated Chromatin Epigenetics Resource
Chromatin modification (CM) is a set of epigenetic processes that govern many aspects of DNA replication, transcription and repair. CM is carried out by groups of physically inter...
Andrei L. Turinsky, Brian Turner, Rosanne C. Borja...
JMLR
2008
230views more  JMLR 2008»
13 years 7 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
BC
1998
98views more  BC 1998»
13 years 7 months ago
The dynamics of long-term exploration in the rat
A simple analytical model is proposed here that captures to a large extent the kinematic structure of rat exploratory behavior. Previous studies have shown that such behavior consi...
Ofer Tchernichovski, Yoav Benjamini, Ilan Golani