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» Methods and Metrics for Selective Regression Testing
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NN
2008
Springer
143views Neural Networks» more  NN 2008»
14 years 11 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
DMIN
2006
124views Data Mining» more  DMIN 2006»
15 years 1 months ago
Optimal Multi-class Classification with Principal Components
An approach to build a multi-class classifier is proposed in this paper. This approach consists of a derivation to show under which loss function an optimal classifier can be obtai...
Albert Hoang
ESWA
2007
96views more  ESWA 2007»
14 years 11 months ago
Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models
Forecasting airborne pollen concentrations is one of the most studied topics in aerobiology, due to its crucial application to allergology. The most used tools for this problem ar...
José Luis Aznarte, José Manuel Benit...
ICIP
2002
IEEE
16 years 1 months ago
A method for color naming and description of color composition in images
Color is one of the main visual cues and has been frequently used in image processing, analysis and retrieval. The extraction of highlevel color descriptors is an increasingly imp...
Aleksandra Mojsilovic
SIGIR
2004
ACM
15 years 5 months ago
Resource selection for domain-specific cross-lingual IR
An under-explored question in cross-language information retrieval (CLIR) is to what degree the performance of CLIR methods depends on the availability of high-quality translation...
Monica Rogati, Yiming Yang