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ICML
2005
IEEE
16 years 5 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
DCC
2004
IEEE
16 years 4 months ago
On Some New Approaches to Practical Slepian-Wolf Compression Inspired by Channel Coding
We introduce three new innovations for compression using LDPCs for the Slepian-Wolf problem. The first is a general iterative Slepian-Wolf decoding algorithm that incorporates the...
Anna H. Lee, Michelle Effros, Muriel Médard...
STACS
2010
Springer
16 years 2 min ago
Dispersion in Unit Disks
We present two new approximation algorithms with (improved) constant ratios for selecting n points in n unit disks such that the minimum pairwise distance among the points is maxi...
Adrian Dumitrescu, Minghui Jiang
CEC
2009
IEEE
15 years 11 months ago
Crosstalk and the cooperation of collectively autocatalytic reaction networks
— We examine a potential role of signalling crosstalk in Artificial Cell Signalling Networks (ACSNs). In this research, we regard these ACSNs or Artificial Biochemical Networks...
James Decraene, George G. Mitchell, Barry McMullin
ICSM
2009
IEEE
15 years 11 months ago
Modularizing error recovery
Error recovery is an integral concern in compilers. Improving error recovery requires comprehension of a large and complex code base, in order to locate the places which raise err...
Jeeva Paudel, Christopher Dutchyn