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DATESO
2004
116views Database» more  DATESO 2004»
15 years 7 months ago
Using Blind Search and Formal Concepts for Binary Factor Analysis
Binary Factor Analysis (BFA, also known as Boolean Factor Analysis) may help with understanding collections of binary data. Since we can take collections of text documents as binar...
Ales Keprt
BMCBI
2005
157views more  BMCBI 2005»
15 years 5 months ago
Decision Forest Analysis of 61 Single Nucleotide Polymorphisms in a Case-Control Study of Esophageal Cancer; a novel method
Background: Systematic evaluation and study of single nucleotide polymorphisms (SNPs) made possible by high throughput genotyping technologies and bioinformatics promises to provi...
Qian Xie, Luke D. Ratnasinghe, Huixiao Hong, Roger...
NECO
2000
190views more  NECO 2000»
15 years 5 months ago
Generalized Discriminant Analysis Using a Kernel Approach
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...
G. Baudat, Fatiha Anouar
ICA
2010
Springer
15 years 7 months ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio
ISPAN
2002
IEEE
15 years 11 months ago
On the Impact of Naming Methods for Heap-Oriented Pointers in C Programs
Many applications written in C allocate memory blocks for their major data structures from the heap space at runtime. The analysis of heap-oriented pointers in such programs is cr...
Tong Chen, Jin Lin, Wei-Chung Hsu, Pen-Chung Yew