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ASSETS
2006
ACM
14 years 28 days ago
Loudmouth: : modifying text-to-speech synthesis in noise
Current speech synthesis technology is difficult to understand in everyday noise situations. Although there is a significant body of work on how humans modify their speech in nois...
Rupal Patel, Michael Everett, Eldar Sadikov
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
14 years 26 days ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
APPROX
2008
Springer
245views Algorithms» more  APPROX 2008»
13 years 11 months ago
Approximating Optimal Binary Decision Trees
Abstract. We give a (ln n + 1)-approximation for the decision tree (DT) problem. An instance of DT is a set of m binary tests T = (T1, . . . , Tm) and a set of n items X = (X1, . ....
Micah Adler, Brent Heeringa
CIKM
2008
Springer
13 years 11 months ago
A new method for indexing genomes using on-disk suffix trees
We propose a new method to build persistent suffix trees for indexing the genomic data. Our algorithm DiGeST (Disk-Based Genomic Suffix Tree) improves significantly over previous ...
Marina Barsky, Ulrike Stege, Alex Thomo, Chris Upt...
AAAI
2010
13 years 10 months ago
Cost-Sensitive Semi-Supervised Support Vector Machine
In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequa...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou