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JBCB
2006
60views more  JBCB 2006»
15 years 6 months ago
Efficient Algorithms and Software for Detection of Full-length Ltr Retrotransposons
LTR retrotransposons constitute one of the most abundant classes of repetitive elements in eukaryotic genomes. In this paper, we present a new algorithm for detection of full-leng...
Anantharaman Kalyanaraman, Srinivas Aluru
JCP
2006
74views more  JCP 2006»
15 years 6 months ago
Local Boosting of Decision Stumps for Regression and Classification Problems
Numerous data mining problems involve an investigation of associations between features in heterogeneous datasets, where different prediction models can be more suitable for differ...
Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Pan...
JSW
2008
93views more  JSW 2008»
15 years 6 months ago
Is SOA Superior? Evidence from SaaS Financial Statements
We use audited financial statements to examine claims that service-oriented architecture (SOA) leads to higher profits relative to traditional software delivery models. Specificall...
Thomas W. Hall
JMLR
2006
125views more  JMLR 2006»
15 years 6 months ago
Spam Filtering Using Statistical Data Compression Models
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
Andrej Bratko, Gordon V. Cormack, Bogdan Filipic, ...
JMLR
2006
99views more  JMLR 2006»
15 years 6 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...