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PRL
2010
158views more  PRL 2010»
14 years 8 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain
ACL
2011
14 years 1 months ago
Collecting Highly Parallel Data for Paraphrase Evaluation
A lack of standard datasets and evaluation metrics has prevented the field of paraphrasing from making the kind of rapid progress enjoyed by the machine translation community ove...
David Chen, William B. Dolan
ISPDC
2008
IEEE
15 years 4 months ago
Performance Analysis of Grid DAG Scheduling Algorithms using MONARC Simulation Tool
This paper presents a new approach for analyzing the performance of grid scheduling algorithms for tasks with dependencies. Finding the optimal procedures for DAG scheduling in Gr...
Florin Pop, Ciprian Dobre, Valentin Cristea
IPPS
2007
IEEE
15 years 4 months ago
Bi-criteria Scheduling Algorithm with Deployment in Cluster
Computational grids clusters, provide powerful computing resources for executing applications of large scale. In Grid (clusters) usually several applications run simultaneously.Th...
Feryal-Kamila Moulaï, Gregory Mounie
RECOMB
2005
Springer
15 years 10 months ago
Individual Gene Cluster Statistics in Noisy Maps
Abstract. Identification of homologous chromosomal regions is important for understanding evolutionary processes that shape genome evolution, such as genome rearrangements and larg...
Narayanan Raghupathy, Dannie Durand