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» Comparing Approaches to Implement Feature Model Composition
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WWW
2008
ACM
14 years 9 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
SCP
2010
155views more  SCP 2010»
13 years 7 months ago
Type inference and strong static type checking for Promela
The SPIN model checker and its specification language Promela have been used extensively in industry and academia to check logical properties of distributed algorithms and protoc...
Alastair F. Donaldson, Simon J. Gay
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
14 years 9 months ago
Empirical comparisons of various voting methods in bagging
Finding effective methods for developing an ensemble of models has been an active research area of large-scale data mining in recent years. Models learned from data are often subj...
Kelvin T. Leung, Douglas Stott Parker Jr.
MM
2004
ACM
149views Multimedia» more  MM 2004»
14 years 2 months ago
Designing experiential environments for management of personal multimedia
With the increasing ubiquity of sensors and computational resources, it is becoming easier and increasingly common for people to electronically record, photographs, text, audio, a...
Rahul Singh, Rachel Knickmeyer, Punit Gupta, Rames...
BMCBI
2006
112views more  BMCBI 2006»
13 years 8 months ago
Algorithms for incorporating prior topological information in HMMs: application to transmembrane proteins
Background: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such...
Pantelis G. Bagos, Theodore D. Liakopoulos, Stavro...