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» Large-Scale Data Analysis Using Heuristic Methods
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137
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CF
2005
ACM
15 years 5 months ago
Evaluation of extended dictionary-based static code compression schemes
This paper evaluates how much extended dictionary-based code compression techniques can reduce the static code size. In their simplest form, such methods statically identify ident...
Martin Thuresson, Per Stenström
126
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IDA
2002
Springer
15 years 3 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
NIPS
2007
15 years 4 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
132
Voted
AAAI
2011
14 years 3 months ago
Relational Blocking for Causal Discovery
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...
Matthew J. Rattigan, Marc E. Maier, David Jensen
132
Voted
ICDAR
2011
IEEE
14 years 3 months ago
Three Dimensional Rotation-Free Recognition of Characters
—In this paper, we propose a new method for three dimensional rotation-free recognition of characters in scene. In the proposed method, we employ the Modified Quadratic Discrimi...
Ryo Narita, Wataru Ohyama, Tetsushi Wakabayashi, F...