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127
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GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
15 years 10 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...
ICML
2005
IEEE
16 years 5 months ago
Learning hierarchical multi-category text classification models
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
Craig Saunders, John Shawe-Taylor, Juho Rousu, S&a...
CICLING
2005
Springer
15 years 10 months ago
Automatic Annotation of Corpora for Text Summarisation: A Comparative Study
This paper presents two methods which automatically produce annotated corpora for text summarisation on the basis of human abstracts. Both methods identify a set of sentences from ...
Constantin Orasan
117
Voted
ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
15 years 11 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
159
Voted
ACSC
2009
IEEE
15 years 11 months ago
HOPPER: a hierarchical planning agent for unpredictable domains
Hierarchical Task Networks (HTNs) are a family of powerful planning algorithms that have been successfully applied to many complex, real-world domains. However, they are limited t...
Maciej Wojnar, Peter Andreae