SODA
2000
ACM
13 years 6 months ago
2000
ACM
Real Scaled Matching is the problem of finding all locations in the text where the pattern, proportionally enlarged according to an arbitrary real-sized scale, appears. Real scale...
IJCAI
2003
13 years 6 months ago
2003
Sequence alignment is an important problem in computational biology. We compare two different approaches to the problem of optimally aligning two or more character strings: bounde...
AAAI
2010
13 years 6 months ago
2010
Labeling nodes in a network is an important problem that has seen a growing interest. A number of methods that exploit both local and relational information have been developed fo...
KDD
1995
ACM
13 years 8 months ago
1995
ACM
Finding and removingoutliers is an important problem in data mining. Errors in large databases can be extremely common,so an important property of a data mining algorithm is robus...
COCOON
2006
Springer
13 years 9 months ago
2006
Springer
: Inferring graphs from path frequency has been studied as an important problem which has a potential application to drug design and elucidation of chemical structures. Given a mul...
DAC
1989
ACM
13 years 9 months ago
1989
ACM
We present a new 0 (n2) heuristic for hypergraph min-cut bipartitioning, an important problem in circuit placement. Fastest previous methods for this problem are O(n2 log n). Our ...
HPCN
1997
Springer
13 years 9 months ago
1997
Springer
Abstract. Ion recombination in nonpolar liquids is an important problem in radiation chemistry. We have designed and implemented a parallel Monte Carlo simulation for this computat...
IWANN
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. The Frequency Assignment Problem (FAP) is a very important problem of practical interest. This work compares several evolutionary approaches to this problem, based both i...
EUSAI
2003
Springer
13 years 10 months ago
2003
Springer
An important problem in intelligent environments is how the system can identify and model users’ activities. This paper describes a new technique for identifying correlations be...
MICAI
2004
Springer
13 years 10 months ago
2004
Springer
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...