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» Aggregation functions: Means
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ALT
2001
Springer
14 years 6 months ago
Learning Recursive Functions Refutably
Abstract. Learning of recursive functions refutably means that for every recursive function, the learning machine has either to learn this function or to refute it, i.e., to signal...
Sanjay Jain, Efim B. Kinber, Rolf Wiehagen, Thomas...
MCS
2009
Springer
14 years 3 months ago
Ensemble Based Data Fusion for Gene Function Prediction
The availability of an ever increasing amount of data sources due to recent advances in high throughput biotechnologies opens unprecedented opportunities for genome-wide gene funct...
Matteo Re, Giorgio Valentini
WABI
2007
Springer
109views Bioinformatics» more  WABI 2007»
14 years 3 months ago
Two Birds, One Stone: Selecting Functionally Informative Tag SNPs for Disease Association Studies
Selecting an informative subset of SNPs, generally referred to as tag SNPs, to genotype and analyze is considered to be an essential step toward effective disease association studi...
Phil Hyoun Lee, Hagit Shatkay
FGR
2006
IEEE
157views Biometrics» more  FGR 2006»
14 years 3 months ago
Evaluating Error Functions for Robust Active Appearance Models
Active appearance models (AAMs) are generative parametric models commonly used to track faces in video sequences. A limitation of AAMs is they are not robust to occlusion. A recen...
Barry-John Theobald, Iain Matthews, Simon Baker
DAS
2010
Springer
14 years 1 months ago
Towards more effective distance functions for word image matching
Matching word images has many applications in document recognition and retrieval systems. Dynamic Time Warping (DTW) is popularly used to estimate the similarity between word imag...
Raman Jain, C. V. Jawahar