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» Learning Rules from Distributed Data
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WOSP
2010
ACM
15 years 10 months ago
Analytical modeling of lock-based concurrency control with arbitrary transaction data access patterns
Nowadays the 2-Phase-Locking (2PL) concurrency control algorithm still plays a core rule in the construction of transactional systems (e.g. database systems and transactional memo...
Pierangelo di Sanzo, Roberto Palmieri, Bruno Cicia...
IJAHUC
2006
128views more  IJAHUC 2006»
15 years 3 months ago
Avoid 'void' in geographic routing for data aggregation in sensor networks
: Wireless sensor networks have attracted great attention in research and industrial development due to its fast-growing application potentials. New techniques must be developed fo...
Shigang Chen, Guangbin Fan, Jun-Hong Cui
ESOP
2011
Springer
14 years 6 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
IJET
2006
112views more  IJET 2006»
15 years 3 months ago
Personalized E-Learning in the Semantic Web
: The challenge of the semantic web is the provision of distributed information with well defined meaning, understandable for different parties. Particularly, applications should b...
Nicola Henze
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 8 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong