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ICMLC
2010
Springer
13 years 5 months ago
A comparative study on two large-scale hierarchical text classification tasks' solutions
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
Jian Zhang, Hai Zhao, Bao-Liang Lu
CVPR
2005
IEEE
14 years 9 months ago
Bayesian Super-Resolution of Text in Video with a Text-Specific Bimodal Prior
To increase the range of sizes of video scene text recognizable by optical character recognition (OCR), we developed a Bayesian super-resolution algorithm that uses a text-specifi...
Katherine Donaldson, Gregory K. Myers
ICTAI
2007
IEEE
14 years 1 months ago
On Evaluation Methodologies for Text Segmentation Algorithms
The WindowDiff evaluation measure [12] is becoming the standard criterion for evaluating text segmentation methods. Nevertheless, this metric is really not fair with regard to the...
Sylvain Lamprier, Tassadit Amghar, Bernard Levrat,...
GECCO
2010
Springer
186views Optimization» more  GECCO 2010»
13 years 8 months ago
Genetic rule extraction optimizing brier score
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Ulf Johansson, Rikard König, Lars Niklasson
AGI
2011
12 years 11 months ago
Comparing Humans and AI Agents
Comparing humans and machines is one important source of information about both machine and human strengths and limitations. Most of these comparisons and competitions are performe...
Javier Insa-Cabrera, David L. Dowe, Sergio Espa&nt...