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» On Computing Functions with Uncertainty
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RECOMB
2004
Springer
16 years 8 months ago
Probabilistic discovery of overlapping cellular processes and their regulation
In this paper, we explore modeling overlapping biological processes. We discuss a probabilistic model of overlapping biological processes, gene membership in those processes, and ...
Alexis Battle, Eran Segal, Daphne Koller
RECOMB
2003
Springer
16 years 8 months ago
On de novo interpretation of tandem mass spectra for peptide identification
The correct interpretation of tandem mass spectra is a difficult problem, even when it is limited to scoring peptides against a database. De novo sequencing is considerably harder...
Vineet Bafna, Nathan Edwards
RECOMB
2001
Springer
16 years 8 months ago
Analysis techniques for microarray time-series data
We address possible limitations of publicly available data sets of yeast gene expression. We study the predictability of known regulators via time-series analysis, and show that l...
Vladimir Filkov, Steven Skiena, Jizu Zhi
STOC
2003
ACM
154views Algorithms» more  STOC 2003»
16 years 8 months ago
Boosting in the presence of noise
Boosting algorithms are procedures that "boost" low-accuracy weak learning algorithms to achieve arbitrarily high accuracy. Over the past decade boosting has been widely...
Adam Kalai, Rocco A. Servedio
STOC
2002
ACM
126views Algorithms» more  STOC 2002»
16 years 8 months ago
Polynomial-time quantum algorithms for Pell's equation and the principal ideal problem
We give polynomial-time quantum algorithms for three problems from computational algebraic number theory. The first is Pell's equation. Given a positive nonsquare integer d, ...
Sean Hallgren
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