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BMCBI
2010
98views more  BMCBI 2010»
15 years 4 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...
IPM
2008
100views more  IPM 2008»
15 years 4 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
JMLR
2006
132views more  JMLR 2006»
15 years 4 months ago
Learning to Detect and Classify Malicious Executables in the Wild
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
Jeremy Z. Kolter, Marcus A. Maloof
ML
2010
ACM
151views Machine Learning» more  ML 2010»
15 years 3 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
APSCC
2010
IEEE
15 years 2 months ago
A Multicore-Aware Runtime Architecture for Scalable Service Composition
Middleware for web service orchestration, such as runtime engines for executing business processes, workflows, or web service compositions, can easily become performance bottleneck...
Daniele Bonetta, Achille Peternier, Cesare Pautass...