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COLT
2008
Springer
13 years 7 months ago
More Efficient Internal-Regret-Minimizing Algorithms
Standard no-internal-regret (NIR) algorithms compute a fixed point of a matrix, and hence typically require O(n3 ) run time per round of learning, where n is the dimensionality of...
Amy R. Greenwald, Zheng Li, Warren Schudy
RECOMB
1997
Springer
13 years 9 months ago
A more efficient approximation scheme for tree alignment
We present a new polynomial time approximation scheme (PTAS) for tree alignment, which is an important variant of multiple sequence alignment. As in the existing PTASs in the liter...
Lusheng Wang, Tao Jiang, Dan Gusfield
KDD
2004
ACM
113views Data Mining» more  KDD 2004»
14 years 5 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
ICCS
2005
Springer
13 years 10 months ago
SWAT: A New Spliced Alignment Tool Tailored for Handling More Sequencing Errors
Abstract. There are several computer programs that align mRNA with its genomic counterpart to determine exon boundaries. Though most of these programs perform such alignment effici...
Yifeng Li, Hesham H. Ali
EMO
2006
Springer
173views Optimization» more  EMO 2006»
13 years 9 months ago
Differential Evolution versus Genetic Algorithms in Multiobjective Optimization
This paper presents a comprehensive comparison between the performance of state-of-the-art genetic algorithms NSGA-II, SPEA2 and IBEA and their differential evolution based variant...
Tea Tusar, Bogdan Filipic