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ICML
2005
IEEE
16 years 6 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
ICB
2009
Springer
141views Biometrics» more  ICB 2009»
16 years 3 days ago
Towards Structured Approaches to Arbitrary Data Selection and Performance Prediction for Speaker Recognition
We developed measures relating feature vector distributions to speaker recognition (SR) performances for performance prediction and potential arbitrary data selection for SR. We ex...
Howard Lei
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 11 months ago
Using pair approximations to predict takeover dynamics in spatially structured populations
The topological properties of a network directly impact the flow of information through a system. For example, in natural populations, the network of inter-individual contacts aff...
Joshua L. Payne, Margaret J. Eppstein
GCB
2010
Springer
198views Biometrics» more  GCB 2010»
15 years 3 months ago
RNALfoldz: Efficient Prediction of Thermodynamically Stable, Local Secondary Structures
Abstract: The search for local RNA secondary structures and the annotation of unusually stable folding regions in genomic sequences are two well motivated bioinformatic problems. I...
Andreas R. Gruber, Stephan H. F. Bernhart, You Zho...
EMNLP
2007
15 years 7 months ago
Structured Prediction Models via the Matrix-Tree Theorem
This paper provides an algorithmic framework for learning statistical models involving directed spanning trees, or equivalently non-projective dependency structures. We show how p...
Terry Koo, Amir Globerson, Xavier Carreras, Michae...