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» Optimizing Complex Loss Functions in Structured Prediction
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SIGDIAL
2010
13 years 7 months ago
Dialogue Act Modeling in a Complex Task-Oriented Domain
Classifying the dialogue act of a user utterance is a key functionality of a dialogue management system. This paper presents a data-driven dialogue act classifier that is learned ...
Kristy Elizabeth Boyer, Eun Y. Ha, Robert Phillips...
ICPR
2006
IEEE
14 years 10 months ago
A Semi-supervised SVM for Manifold Learning
Many classification tasks benefit from integrating manifold learning and semi-supervised learning. By formulating the learning task in a semi-supervised manner, we propose a novel...
Zhili Wu, Chun-hung Li, Ji Zhu, Jian Huang
JDA
2006
106views more  JDA 2006»
13 years 9 months ago
An optimal algorithm to generate tilings
We produce an algorithm that is optimal with respect to both space and execution time to generate all the lozenge (or domino) tilings of a hole-free, general-shape domain given as...
Sébastien Desreux, Eric Rémila
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 3 months ago
A novel ab-initio genetic-based approach for protein folding prediction
In this paper, a model based on genetic algorithms for protein folding prediction is proposed. The most important features of the proposed approach are: i) Heuristic secondary str...
Sergio Raul Duarte Torres, David Camilo Becerra Ro...
BMCBI
2007
216views more  BMCBI 2007»
13 years 9 months ago
A replica exchange Monte Carlo algorithm for protein folding in the HP model
Background: The ab initio protein folding problem consists of predicting protein tertiary structure from a given amino acid sequence by minimizing an energy function; it is one of...
Chris Thachuk, Alena Shmygelska, Holger H. Hoos