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» Introduction to Randomized Algorithms
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BIRTHDAY
2003
Springer
15 years 9 months ago
Computational Proof as Experiment: Probabilistic Algorithms from a Thermodynamic Perspective
Abstract. A novel framework for the design and analysis of energy-aware algorithms is presented, centered around a deterministic Bit-level (Boltzmann) Random Access Machine or BRAM...
Krishna V. Palem
EMO
2001
Springer
209views Optimization» more  EMO 2001»
15 years 8 months ago
Comparison of Evolutionary and Deterministic Multiobjective Algorithms for Dose Optimization in Brachytherapy
We compare two multiobjective evolutionary algorithms, with deterministic gradient based optimization methods for the dose optimization problem in high-dose rate (HDR) brachythera...
Natasa Milickovic, Michael Lahanas, Dimos Baltas, ...
EWCBR
2006
Springer
15 years 8 months ago
Rough Set Feature Selection Algorithms for Textual Case-Based Classification
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
Kalyan Moy Gupta, David W. Aha, Philip Moore
GCC
2006
Springer
15 years 8 months ago
BSM: A scheduling algorithm for dynamic jobs based on economics theory
In this paper, we propose a new scheduling algorithm with economic theory, called Black Scholes Market (BSM) algorithm for a class of Dynamic Jobs (DJ). BSM is based on the classi...
Bo Cao, Yongwei Wu, Guangwen Yang, Jia Liu, Jianji...
APPROX
2008
Springer
101views Algorithms» more  APPROX 2008»
15 years 6 months ago
Streaming Algorithms for k-Center Clustering with Outliers and with Anonymity
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
Richard Matthew McCutchen, Samir Khuller