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» A New Indexing Method for High Dimensional Dataset
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BMCBI
2006
91views more  BMCBI 2006»
15 years 26 days ago
Empirical study of supervised gene screening
Background: Microarray studies provide a way of linking variations of phenotypes with their genetic causations. Constructing predictive models using high dimensional microarray me...
Shuangge Ma
85
Voted
WWW
2005
ACM
16 years 1 months ago
Automatically learning document taxonomies for hierarchical classification
While several hierarchical classification methods have been applied to web content, such techniques invariably rely on a pre-defined taxonomy of documents. We propose a new techni...
Kunal Punera, Suju Rajan, Joydeep Ghosh
BMCBI
2010
112views more  BMCBI 2010»
15 years 28 days ago
A boundary delimitation algorithm to approximate cell soma volumes of bipolar cells from topographical data obtained by scanning
Background: Cell volume determination plays a pivotal role in the investigation of the biophysical mechanisms underlying various cellular processes. Whereas light microscopy in pr...
Patrick Happel, Kerstin Moller, Ralf Kunz, Irmgard...
82
Voted
IPMI
2003
Springer
16 years 1 months ago
Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies
Abstract. Estimating statistical significance of detected differences between two groups of medical scans is a challenging problem due to the high dimensionality of the data and th...
Polina Golland, Bruce Fischl
113
Voted
COLT
1998
Springer
15 years 5 months ago
Large Margin Classification Using the Perceptron Algorithm
We introduce and analyze a new algorithm for linear classification which combines Rosenblatt's perceptron algorithm with Helmbold and Warmuth's leave-one-out method. Like...
Yoav Freund, Robert E. Schapire