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» Evaluating algorithms that learn from data streams
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KBSE
2009
IEEE
16 years 1 months ago
Code Completion from Abbreviated Input
—Abbreviation Completion is a novel technique to improve the efficiency of code-writing by supporting code completion of multiple keywords based on non-predefined abbreviated inp...
Sangmok Han, David R. Wallace, Robert C. Miller
180
Voted
ECML
2004
Springer
16 years 6 days ago
Using String Kernels to Identify Famous Performers from Their Playing Style
Abstract. In this paper we show a novel application of string kernels: that is to the problem of recognising famous pianists from their style of playing. The characterstics of perf...
Craig Saunders, David R. Hardoon, John Shawe-Taylo...
ICML
2005
IEEE
16 years 7 months ago
Analysis and extension of spectral methods for nonlinear dimensionality reduction
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...
Fei Sha, Lawrence K. Saul
CEC
2007
IEEE
16 years 1 months ago
Estimation of distribution algorithms for testing object oriented software
— One of the main tasks software testing involves is the generation of the test cases to be used during the test. Due to its expensive cost, the automation of this task has becom...
Ramón Sagarna, Andrea Arcuri, Xin Yao
199
Voted
BMCBI
2008
173views more  BMCBI 2008»
15 years 7 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...