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TCBB
2011
15 years 1 months ago
Learning Genetic Regulatory Network Connectivity from Time Series Data
Recent experimental advances facilitate the collection of time series data that indicate which genes in a cell are expressed. This paper proposes an efficient method to generate th...
Nathan A. Barker, Chris J. Myers, Hiroyuki Kuwahar...
ECCV
2004
Springer
16 years 8 months ago
Kernel Feature Selection with Side Data Using a Spectral Approach
Abstract. We address the problem of selecting a subset of the most relevant features from a set of sample data in cases where there are multiple (equally reasonable) solutions. In ...
Amnon Shashua, Lior Wolf
RSFDGRC
1999
Springer
194views Data Mining» more  RSFDGRC 1999»
15 years 11 months ago
A Closest Fit Approach to Missing Attribute VAlues in Preterm Birth Data
: In real-life data, in general, many attribute values are missing. Therefore, rule induction requires preprocessing, where missing attribute values are replaced by appropriate val...
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse,...
NIPS
2008
15 years 8 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
COMPGEOM
2011
ACM
14 years 10 months ago
Metric graph reconstruction from noisy data
Many real-world data sets can be viewed of as noisy samples of special types of metric spaces called metric graphs [16]. Building on the notions of correspondence and GromovHausdo...
Mridul Aanjaneya, Frédéric Chazal, D...