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» Using Anonymized Data for Classification
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143
Voted
BMCBI
2010
113views more  BMCBI 2010»
15 years 3 months ago
A classification model for distinguishing copy number variants from cancer-related alterations
Background: Both somatic copy number alterations (CNAs) and germline copy number variants (CNVs) that are prevalent in healthy individuals can appear as recurrent changes in compa...
Irina Ostrovnaya, Gouri Nanjangud, Adam B. Olshen
139
Voted
BMCBI
2006
159views more  BMCBI 2006»
15 years 3 months ago
EVEREST: automatic identification and classification of protein domains in all protein sequences
Background: Proteins are comprised of one or several building blocks, known as domains. Such domains can be classified into families according to their evolutionary origin. Wherea...
Elon Portugaly, Amir Harel, Nathan Linial, Michal ...
140
Voted
ML
2010
ACM
163views Machine Learning» more  ML 2010»
14 years 10 months ago
Classification with guaranteed probability of error
We introduce a general-purpose learning machine that we call the Guaranteed Error Machine, or GEM, and two learning algorithms, a real GEM algorithm and an ideal GEM algorithm. Th...
Marco C. Campi
ICIP
2002
IEEE
16 years 5 months ago
Fast and effective characterization of 3D region data
We consider the problem of characterization of spatial region data such as the regions of interest (ROIs) in medical images. We propose a method that efficiently extracts a k-dime...
Vasileios Megalooikonomou, Haimonti Dutta, Despina...
150
Voted
ACSW
2004
15 years 4 months ago
Applying Online Gradient Descent Search to Genetic Programming for Object Recognition
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...
William D. Smart, Mengjie Zhang