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SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
14 years 11 months ago
Semi-Supervised Learning Based on Semiparametric Regularization
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Chr...
NIPS
2008
14 years 11 months ago
An ideal observer model of infant object perception
Before the age of 4 months, infants make inductive inferences about the motions of physical objects. Developmental psychologists have provided verbal accounts of the knowledge tha...
Charles Kemp, Fei Xu
BMCBI
2007
120views more  BMCBI 2007»
14 years 10 months ago
Recognition of interferon-inducible sites, promoters, and enhancers
Background: Computational analysis of gene regulatory regions is important for prediction of functions of many uncharacterized genes. With this in mind, search of the target genes...
Elena A. Ananko, Yury V. Kondrakhin, Tatyana I. Me...
POS
1998
Springer
15 years 2 months ago
Swizzle Barrier Optimizations for Orthogonal Persistence in Java
Swizzling refers to the translation of object references from an external, persistent format to an internal, transient format used during application execution. Eager swizzling sc...
Kumar Brahnmath, Nathaniel Nystrom, Antony L. Hosk...
EENERGY
2010
15 years 2 months ago
Towards energy-aware scheduling in data centers using machine learning
As energy-related costs have become a major economical factor for IT infrastructures and data-centers, companies and the research community are being challenged to find better an...
Josep Lluis Berral, Iñigo Goiri, Ramon Nou,...