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ML
2008
ACM
150views Machine Learning» more  ML 2008»
15 years 4 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
EOR
2007
117views more  EOR 2007»
15 years 4 months ago
Considering manufacturing cost and scheduling performance on a CNC turning machine
A well known industry application that allows controllable processing times is the manufacturing operations on CNC machines. For each turning operation as an example, there is a n...
Sinan Gurel, M. Selim Akturk
NAR
2008
103views more  NAR 2008»
15 years 4 months ago
DBD--taxonomically broad transcription factor predictions: new content and functionality
DNA-binding domain (DBD) is a database of predicted sequence-specific DNA-binding transcription factors (TFs) for all publicly available proteomes. The proteomes have increased fr...
Derek Wilson, Varodom Charoensawan, Sarah K. Kumme...
LRE
2006
112views more  LRE 2006»
15 years 4 months ago
A multilingual ontology for infectious disease surveillance: rationale, design and challenges
A lack of surveillance system infrastructure in the Asia-Pacific region is seen as hindering the global control of rapidly spreading infectious diseases such as the recent avian H5...
Nigel Collier, Ai Kawazoe, Lihua Jin, Mika Shigema...
PR
2008
85views more  PR 2008»
15 years 3 months ago
Quadratic boosting
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
Thang V. Pham, Arnold W. M. Smeulders
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