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» Generating Rule Sets from Model Trees
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CVPR
2001
IEEE
16 years 8 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
DAC
2008
ACM
16 years 7 months ago
Specify-explore-refine (SER): from specification to implementation
Driven by increasing complexity and reliability demands, the Japanese Aerospace Exploration Agency (JAXA) in 2004 commissioned development of ELEGANT, a complete SpecC-based envir...
Andreas Gerstlauer, Junyu Peng, Dongwan Shin, Dani...
APIN
2008
305views more  APIN 2008»
15 years 6 months ago
A generalized model for financial time series representation and prediction
Abstract Traditional financial analysis systems utilize lowlevel price data as their analytical basis. For example, a decision-making system for stock predictions regards raw price...
Depei Bao
BMCBI
2006
94views more  BMCBI 2006»
15 years 6 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...
ECMDAFA
2006
Springer
137views Hardware» more  ECMDAFA 2006»
15 years 10 months ago
A Canonical Scheme for Model Composition
There is little agreement on terminology in model composition, and even less on key characteristics of a model composition solution. We present three composition frameworks: the At...
Jean Bézivin, Salim Bouzitouna, Marcos Dido...