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CORR
2008
Springer
96views Education» more  CORR 2008»
13 years 7 months ago
Improved Approximations for Multiprocessor Scheduling Under Uncertainty
This paper presents improved approximation algorithms for the problem of multiprocessor scheduling under uncertainty (SUU), in which the execution of each job may fail probabilist...
Christopher Y. Crutchfield, Zoran Dzunic, Jeremy T...
SBIA
2004
Springer
14 years 26 days ago
Learning with Drift Detection
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Pedro Medas, Gladys Castillo, Pe...
EMNLP
2009
13 years 5 months ago
K-Best Combination of Syntactic Parsers
In this paper, we propose a linear model-based general framework to combine k-best parse outputs from multiple parsers. The proposed framework leverages on the strengths of previo...
Hui Zhang, Min Zhang, Chew Lim Tan, Haizhou Li
IDA
2010
Springer
13 years 9 months ago
A Framework for Path-Oriented Network Simplification
Abstract. We propose a generic framework and methods for simplification of large networks. The methods can be used to improve the understandability of a given network, to complemen...
Hannu Toivonen, Sébastien Mahler, Fang Zhou
CSB
2002
IEEE
109views Bioinformatics» more  CSB 2002»
14 years 14 days ago
Towards Automatic Clustering of Protein Sequences
Analyzing protein sequence data becomes increasingly important recently. Most previous work on this area has mainly focused on building classification models. In this paper, we i...
Jiong Yang, Wei Wang 0010