Sciweavers

3716 search results - page 36 / 744
» On the monotonization of the training set
Sort
View
ICML
2000
IEEE
16 years 1 months ago
Discovering Test Set Regularities in Relational Domains
Machine learning typically involves discovering regularities in a training set, then applying these learned regularities to classify objects in a test set. In this paper we presen...
Seán Slattery, Tom M. Mitchell
93
Voted
IJFCS
2006
77views more  IJFCS 2006»
15 years 16 days ago
Spike Trains in Spiking Neural P Systems
We continue here the study of the recently introduced spiking neural P systems, which mimic the way that neurons communicate with each other by means of short electrical impulses, ...
Gheorghe Paun, Mario J. Pérez-Jiméne...
ICDAR
2005
IEEE
15 years 6 months ago
Text Degradations and OCR Training
Printing and scanning of text documents introduces degradations to the characters which can be modeled. Interestingly, certain combinations of the parameters that govern the degra...
Elisa H. Barney Smith, Tim L. Andersen
102
Voted
SIAMNUM
2010
126views more  SIAMNUM 2010»
14 years 7 months ago
Smoothing under Diffeomorphic Constraints with Homeomorphic Splines
In this paper we introduce a new class of diffeomorphic smoothers based on general spline smoothing techniques and on the use of some tools that have been recently developed in th...
Jérémie Bigot, Sébastien Gada...
97
Voted
ACSW
2004
15 years 1 months ago
A wavelet-based neuro-fuzzy system for data mining small image sets
Creating a robust image classification system depends on having enough data with which one can adequately train and validate the model. If there is not enough available data, this...
Brendon J. Woodford, Da Deng, George L. Benwell