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CVPR
2006
IEEE
16 years 8 months ago
Principled Hybrids of Generative and Discriminative Models
When labelled training data is plentiful, discriminative techniques are widely used since they give excellent generalization performance. However, for large-scale applications suc...
Julia A. Lasserre, Christopher M. Bishop, Thomas P...
EDBT
2006
ACM
105views Database» more  EDBT 2006»
16 years 6 months ago
HASE: A Hybrid Approach to Selectivity Estimation for Conjunctive Predicates
Current methods for selectivity estimation fall into two broad categories, synopsis-based and sampling-based. Synopsis-based methods, such as histograms, incur minimal overhead at ...
Xiaohui Yu, Nick Koudas, Calisto Zuzarte
RTAS
2008
IEEE
16 years 1 months ago
Hybrid Timing Analysis of Modern Processor Pipelines via Hardware/Software Interactions
Embedded systems are often subject to constraints that require determinism to ensure that task deadlines are met. Such systems are referred to as real-time systems. Schedulability...
Sibin Mohan, Frank Mueller
MSS
2007
IEEE
153views Hardware» more  MSS 2007»
16 years 27 days ago
Hybrid Host/Network Topologies for Massive Storage Clusters
The high demand for large scale storage capacity calls for the availability of massive storage solutions with high performance interconnects. Although cluster file systems are rap...
Asha Andrade, Ungzu Mun, Dong Hwan Chung, Alexande...
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
16 years 7 days ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali