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ICPR
2002
IEEE
16 years 1 hour ago
Bayesian Networks as Ensemble of Classifiers
Classification of real-world data poses a number of challenging problems. Mismatch between classifier models and true data distributions on one hand and the use of approximate inf...
Ashutosh Garg, Vladimir Pavlovic, Thomas S. Huang
103
Voted
DAC
2007
ACM
15 years 12 months ago
Multiprocessor Resource Allocation for Throughput-Constrained Synchronous Dataflow Graphs
Abstract. Embedded multimedia systems often run multiple time-constrained applications simultaneously. These systems use multiprocessor systems-on-chip of which it must be guarante...
Sander Stuijk, Twan Basten, Marc Geilen, Henk Corp...
98
Voted
ICML
2008
IEEE
15 years 11 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
88
Voted
ICML
2004
IEEE
15 years 11 months ago
Margin based feature selection - theory and algorithms
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
91
Voted
HPCA
2006
IEEE
15 years 11 months ago
Construction and use of linear regression models for processor performance analysis
Processor architects have a challenging task of evaluating a large design space consisting of several interacting parameters and optimizations. In order to assist architects in ma...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav...