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ICML
2004
IEEE
15 years 6 months ago
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
Hisashi Kashima, Yuta Tsuboi
102
Voted
CIS
2004
Springer
15 years 6 months ago
Algorithms for Loosely Constrained Multiple Sequence Alignment
For finding accurate and biologically meaningful multiple sequence alignment, it is required to consider a loosely constrained version of multiple sequence alignment. This paper is...
Bin Song, Fengfeng Zhou, Guoliang Chen
93
Voted
GECCO
2004
Springer
211views Optimization» more  GECCO 2004»
15 years 6 months ago
Node-Depth Encoding for Evolutionary Algorithms Applied to Network Design
Network design involves several areas of engineering and science. Computer networks, electrical circuits, transportation problems, and phylogenetic trees are some examples. In gene...
Alexandre C. B. Delbem, André Carlos Ponce ...
MICAI
2004
Springer
15 years 6 months ago
An Optimization Algorithm Based on Active and Instance-Based Learning
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
Olac Fuentes, Thamar Solorio
PRICAI
2004
Springer
15 years 6 months ago
An Anytime Algorithm for Interpreting Arguments
Abstract. The problem of interpreting Natural Language (NL) discourse is generally of exponential complexity. However, since interactions with users must be conducted in real time,...
Sarah George, Ingrid Zukerman, Michael Niemann