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TSP
2008
99views more  TSP 2008»
13 years 7 months ago
Sphere Decoding With a Probabilistic Tree Pruning
In this paper, we present a near ML-achieving sphere decoding algorithm that reduces the number of search operations in the sphere-constrained search. Specifically, by adding a pro...
Byonghyo Shim, Insung Kang
ISCA
2008
IEEE
139views Hardware» more  ISCA 2008»
14 years 1 months ago
Atom-Aid: Detecting and Surviving Atomicity Violations
Writing shared-memory parallel programs is error-prone. Among the concurrency errors that programmers often face are atomicity violations, which are especially challenging. They h...
Brandon Lucia, Joseph Devietti, Karin Strauss, Lui...
KCAP
2003
ACM
14 years 19 days ago
Building large knowledge bases by mass collaboration
Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitatio...
Matthew Richardson, Pedro Domingos
COLCOM
2005
IEEE
14 years 1 months ago
Stochasticity of probabilistic systems: analysis methodologies case-study
We do a case study of two different analysis techniques for studying the stochastic behavior of a randomized system/algorithms: (i) The first approach can be broadly termed as a ...
Anwitaman Datta, Martin Hasler, Karl Aberer
HAIS
2008
Springer
13 years 8 months ago
Clustering Likelihood Curves: Finding Deviations from Single Clusters
For systematic analyses of quantitative mass spectrometry data a method was developed in order to reveal peptides within a protein, that show differences in comparison with the rem...
Claudia Hundertmark, Frank Klawonn