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ICML
2008
IEEE
16 years 7 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
ICML
2003
IEEE
16 years 7 months ago
Unsupervised Learning with Permuted Data
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
Sergey Kirshner, Sridevi Parise, Padhraic Smyth
ICALP
2009
Springer
16 years 1 months ago
Quasirandom Rumor Spreading: Expanders, Push vs. Pull, and Robustness
Abstract Randomized rumor spreading is an efficient protocol to distribute information in networks. Recently, a quasirandom version has been proposed and proven to work equally we...
Benjamin Doerr, Tobias Friedrich, Thomas Sauerwald
DATE
2008
IEEE
111views Hardware» more  DATE 2008»
16 years 1 months ago
A Formal Approach To The Protocol Converter Problem
In the absence of a single module interface standard, integration of pre-designed modules in System-on-Chip design often requires the use of protocol converters. Existing approach...
Karin Avnit, Vijay D'Silva, Arcot Sowmya, S. Rames...
KBSE
2007
IEEE
16 years 25 days ago
Testing concurrent programs using value schedules
Concurrent programs are difficult to debug and verify because of the nondeterministic nature of concurrent executions. A particular concurrency-related bug may only show up under ...
Jun Chen, Steve MacDonald