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» New Algorithms for Statistical Analysis of Interval Data
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NIPS
2004
15 years 1 months ago
Support Vector Classification with Input Data Uncertainty
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
Jinbo Bi, Tong Zhang
INFORMATICALT
2010
94views more  INFORMATICALT 2010»
14 years 9 months ago
Statistical Classification of Scientific Publications
The problem of automatic classification of scientific texts is considered. Methods based on statistical analysis of probabilistic distributions of scientific terms in texts are dis...
Vaidas Balys, Rimantas Rudzkis
KDD
1998
ACM
99views Data Mining» more  KDD 1998»
15 years 4 months ago
On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases
For a wide variety of classification algorithms, scalability to large databases can be achieved by observing that most algorithms are driven by a set of sufficient statistics that...
Goetz Graefe, Usama M. Fayyad, Surajit Chaudhuri
BMCBI
2007
135views more  BMCBI 2007»
14 years 12 months ago
Measuring similarities between gene expression profiles through new data transformations
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...
SSD
2005
Springer
173views Database» more  SSD 2005»
15 years 5 months ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras