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» Generating Data Analysis Programs from Statistical Models
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KDD
2004
ACM
181views Data Mining» more  KDD 2004»
15 years 10 months ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett
ICST
2009
IEEE
15 years 4 months ago
Seasonal Variation in the Vulnerability Discovery Process
Vulnerability discovery rates need to be taken into account for evaluating security risks. Accurate projection of these rates is required to estimate the effort needed to develop ...
HyunChul Joh, Yashwant K. Malaiya
COMPUTER
1999
69views more  COMPUTER 1999»
14 years 9 months ago
Scientific Components Are Coming
abstract mathematical or physical statement, not something specific. The way scientific programmers most frequently verify that their programs are correct is to examine their resul...
Paul F. Dubois
BMCBI
2007
148views more  BMCBI 2007»
14 years 10 months ago
p53FamTaG: a database resource of human p53, p63 and p73 direct target genes combining in silico prediction and microarray data
Background: The p53 gene family consists of the three genes p53, p63 and p73, which have polyhedral non-overlapping functions in pivotal cellular processes such as DNA synthesis a...
Elisabetta Sbisà, Domenico Catalano, Giorgi...
NLE
2010
127views more  NLE 2010»
14 years 8 months ago
Class-based approach to disambiguating Levin verbs
Lapata and Brew (2004) (hereafter LB04) obtain from untagged texts a statistical prior model that is able to generate class preferences for ambiguous Levin (1993) verbs (hereafter...
Jianguo Li, Chris Brew