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» Improving EAs for Sequencing Problems
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132
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BMCBI
2004
114views more  BMCBI 2004»
15 years 3 months ago
Profiled support vector machines for antisense oligonucleotide efficacy prediction
Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...
Gustavo Camps-Valls, Alistair M. Chalk, Antonio J....
156
Voted
SDM
2011
SIAM
223views Data Mining» more  SDM 2011»
14 years 6 months ago
Characterizing Uncertain Data using Compression
Motivated by sensor networks, mobility data, biology and life sciences, the area of mining uncertain data has recently received a great deal of attention. While various papers hav...
Francesco Bonchi, Matthijs van Leeuwen, Antti Ukko...
143
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APPROX
2011
Springer
234views Algorithms» more  APPROX 2011»
14 years 3 months ago
Streaming Algorithms with One-Sided Estimation
Abstract. We study the space complexity of randomized streaming algorithms that provide one-sided approximation guarantees; e.g., the algorithm always returns an overestimate of th...
Joshua Brody, David P. Woodruff
113
Voted
ICCV
2005
IEEE
16 years 5 months ago
Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance
Although variational methods are among the most accurate techniques for estimating the optical flow, they have not yet entered the field of real-time vision. Main reason is the gr...
Andrés Bruhn, Joachim Weickert
144
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GECCO
2004
Springer
164views Optimization» more  GECCO 2004»
15 years 9 months ago
Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...