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99
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JMLR
2002
111views more  JMLR 2002»
14 years 10 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
78
Voted
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 2 months ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...
73
Voted
SIGADA
2004
Springer
15 years 3 months ago
Information systems security engineering: a critical component of the systems engineering lifecycle
The purpose of this research paper is to illustrate the industrial and federal need for Information Systems Security Engineering (ISSE) in order to build Information Assurance (IA...
James F. Davis
RECOMB
2002
Springer
15 years 10 months ago
Revealing protein structures: a new method for mapping antibody epitopes
A recent idea for determining the three-dimensional structure of a protein uses antibody recognition of surface structure and random peptide libraries to map antibody epitope comb...
Brendan Mumey, Brian W. Bailey, Edward A. Dratz
SPAA
2005
ACM
15 years 3 months ago
Value-maximizing deadline scheduling and its application to animation rendering
We describe a new class of utility-maximization scheduling problem with precedence constraints, the disconnected staged scheduling problem (DSSP). DSSP is a nonpreemptive multipro...
Eric Anderson, Dirk Beyer 0002, Kamalika Chaudhuri...