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BMCBI
2008
173views more  BMCBI 2008»
14 years 10 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
LPNMR
1990
Springer
15 years 1 months ago
The meaning of Negative Premises in Transition System Specifications
We present a general theory for the use of negative premises in the rules of Transition System Specifications (TSSs). We formulate a criterion that should be satisfied by a TSS in ...
Roland N. Bol, Jan Friso Groote
PLDI
2009
ACM
15 years 4 months ago
LiteRace: effective sampling for lightweight data-race detection
Data races are one of the most common and subtle causes of pernicious concurrency bugs. Static techniques for preventing data races are overly conservative and do not scale well t...
Daniel Marino, Madanlal Musuvathi, Satish Narayana...
JMLR
2012
13 years 10 days ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio
TAPSOFT
1995
Springer
15 years 1 months ago
Comparing Flow-Based Binding-Time Analyses
Abstract. Binding-time analyses based on flow analysis have been presented by Bondorf, Consel, Bondorf and Jørgensen, and Schwartzbach and the present author. The analyses are fo...
Jens Palsberg