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» Comparative analysis of biclustering algorithms
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163
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ACL
2011
14 years 8 months ago
Semi-supervised latent variable models for sentence-level sentiment analysis
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...
Oscar Täckström, Ryan T. McDonald
BMCBI
2004
208views more  BMCBI 2004»
15 years 4 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
BMCBI
2008
173views more  BMCBI 2008»
15 years 5 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...
205
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CORR
1999
Springer
222views Education» more  CORR 1999»
15 years 4 months ago
Analysis of approximate nearest neighbor searching with clustered point sets
Abstract. Nearest neighbor searching is a fundamental computational problem. A set of n data points is given in real d-dimensional space, and the problem is to preprocess these poi...
Songrit Maneewongvatana, David M. Mount
IWCMC
2006
ACM
15 years 11 months ago
Cross-layer performance analysis of joint rate and power adaptation schemes with multiple-user contention in Nakagami fading cha
Adaptively adjusting transmission rate and power to concurrently enhance goodput and save energy is an important issue in the wireless local area network (WLAN). However, goodput ...
Li-Chun Wang, Kuang-Nan Yen, Jane-Hwa Huang, Ander...