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» Sampling Methods for Unsupervised Learning
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112
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BMCBI
2008
100views more  BMCBI 2008»
14 years 11 months ago
PatternLab for proteomics: a tool for differential shotgun proteomics
Background: A goal of proteomics is to distinguish between states of a biological system by identifying protein expression differences. Liu et al. demonstrated a method to perform...
Paulo C. Carvalho, Juliana S. G. Fischer, Emily I....
102
Voted
SOUPS
2005
ACM
15 years 4 months ago
Developing privacy guidelines for social location disclosure applications and services
In this article, we describe the design process of Reno, a location-enhanced, mobile coordination tool and person finder. The design process included three field experiments: a ...
Giovanni Iachello, Ian E. Smith, Sunny Consolvo, M...
CIKM
2010
Springer
14 years 8 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
81
Voted
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
14 years 8 months ago
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
Jennifer Neville, Brian Gallagher, Tina Eliassi-Ra...
105
Voted
EVOW
2006
Springer
15 years 2 months ago
Robust SVM-Based Biomarker Selection with Noisy Mass Spectrometric Proteomic Data
Abstract. Computational analysis of mass spectrometric (MS) proteomic data from sera is of potential relevance for diagnosis, prognosis, choice of therapy, and study of disease act...
Elena Marchiori, Connie R. Jimenez, Mikkel West-Ni...