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SEMWEB
2010
Springer
14 years 8 months ago
Optimizing Enterprise-Scale OWL 2 RL Reasoning in a Relational Database System
OWL 2 RL was standardized as a less expressive but scalable subset of OWL 2 that allows a forward-chaining implementation. However, building an enterprise-scale forward-chaining ba...
Vladimir Kolovski, Zhe Wu, George Eadon
HPDC
2006
IEEE
15 years 5 months ago
Adaptive I/O Scheduling for Distributed Multi-applications Environments
The aIOLi project aims at optimizing the I/O accesses within the cluster by providing a simple POSIX API, thus avoiding the constraints to use a dedicated parallel I/O library. Th...
Adrien Lebre, Yves Denneulin, Guillaume Huard, Prz...
NIPS
2008
15 years 12 days ago
Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
Liu Yang, Rong Jin, Rahul Sukthankar
BMCBI
2010
104views more  BMCBI 2010»
14 years 11 months ago
Analysis of protein-protein docking decoys using interaction fingerprints: application to the reconstruction of CaM-ligand compl
Background: Protein-protein docking for proteins with large conformational changes was analyzed by using interaction fingerprints, one of the scales for measuring similarities amo...
Nobuyuki Uchikoga, Takatsugu Hirokawa
PAMI
2008
161views more  PAMI 2008»
14 years 11 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...