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MCS
2002
Springer
13 years 11 months ago
Highlighting Hard Patterns via AdaBoost Weights Evolution
Bruno Caprile, Cesare Furlanello, Stefano Merler
MCS
2002
Springer
13 years 11 months ago
Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach
The increasing amount and complexity of data in toxicity prediction calls for new approaches based on hybrid intelligent methods for mining the data. This focus is required even mo...
Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu, ...
MCS
2002
Springer
13 years 11 months ago
Stacking with Multi-response Model Trees
We empirically evaluate several state-of-the-art methods for constructing ensembles of classifiers with stacking and show that they perform (at best) comparably to selecting the be...
Saso Dzeroski, Bernard Zenko
MCS
2002
Springer
13 years 11 months ago
Boosting and Classification of Electronic Nose Data
Abstract. Boosting methods are known to improve generalization performances of learning algorithms reducing both bias and variance or enlarging the margin of the resulting multi-cl...
Francesco Masulli, Matteo Pardo, Giorgio Sbervegli...
PR
2000
123views more  PR 2000»
13 years 11 months ago
An expert system for general symbol recognition
An expert system for analysis and recognition of general symbols is introduced. The system uses the structural pattern recognition technique for modeling symbols by a set of strai...
Maher Ahmed, Rabab Kreidieh Ward
PAMI
2000
103views more  PAMI 2000»
13 years 11 months ago
Statistical Pattern Recognition: A Review
Anil K. Jain, Robert P. W. Duin, Jianchang Mao
IJON
2000
80views more  IJON 2000»
13 years 11 months ago
Synthesis approach for bidirectional associative memories based on the perceptron training algorithm
Bidirectional associative memories are being used extensively for solving a variety of problems related to pattern recognition. In the present paper, a new synthesis approach is d...
Ismail Salih, Stanley H. Smith, Derong Liu
MCS
2007
Springer
13 years 11 months ago
A domain decomposition solver for ferromagnetism
We model ferromagnetic effects by using reduced scalar potential. An overlapping domain-decomposition technique is proposed to solve the underlying problem in unbounded domain. I...
Ales Janka
MCS
2007
Springer
13 years 11 months ago
Finite element approach to modelling evolution of 3D shape memory materials
A general finite element framework for the application to different types of phase transforming alloys and under general thermomechanical loadings is presented. The developed tec...
D. Roy Mahapatra, Roderick V. N. Melnik