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» A Note on Difference Sets
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BMCBI
2010
98views more  BMCBI 2010»
15 years 7 months ago
Learning to predict expression efficacy of vectors in recombinant protein production
Background: Recombinant protein production is a useful biotechnology to produce a large quantity of highly soluble proteins. Currently, the most widely used production system is t...
Wen-Ching Chan, Po-Huang Liang, Yan-Ping Shih, Uen...
ICCV
2007
IEEE
16 years 9 months ago
An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...
Liang Lin, Shaowu Peng, Jake Porway, Song Chun Zhu...
340
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PODS
2004
ACM
158views Database» more  PODS 2004»
16 years 7 months ago
Composing Schema Mappings: Second-Order Dependencies to the Rescue
A schema mapping is a specification that describes how data structured under one schema (the source schema) is to be transformed into data structured under a different schema (the...
Ronald Fagin, Phokion G. Kolaitis, Lucian Popa, Wa...
ICDM
2005
IEEE
146views Data Mining» more  ICDM 2005»
16 years 1 months ago
On the Stationarity of Multivariate Time Series for Correlation-Based Data Analysis
Multivariate time series (MTS) data sets are common in various multimedia, medical and financial application domains. These applications perform several data-analysis operations ...
Kiyoung Yang, Cyrus Shahabi
AMAI
2004
Springer
16 years 1 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian