Multicategory Classification by Support Vector Machines
Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part I
A Clustering Technique for the Identification of Piecewise Affine Systems
HSCC '01 Proceedings of the 4th International Workshop on Hybrid Systems: Computation and Control
A Structure Trainable Neural Network with Embedded Gating Units and Its Learning Algorithm
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3 - Volume 3
Nonlinear adaptive control using networks of piecewise linear approximators
IEEE Transactions on Neural Networks
Attacks and risk analysis for hardware supported software copy protection systems
Proceedings of the 4th ACM workshop on Digital rights management
A system for analyzing and indexing human-motion databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
An EM-Based Piecewise Linear Regression Algorithm
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
A regression model with a hidden logistic process for feature extraction from time series
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
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A new connectionist model for the solution of piecewise linear regression problems is introduced; it is able to reconstruct both continuous and non continuous real valued mappings starting from a finite set of possibly noisy samples. The approximating function can assume a different linear behavior in each region of an unknown polyhedral partition of the input domain.The proposed learning technique combines local estimation, clustering in weight space, multicategory classification and linear regression in order to achieve the desired result. Through this approach piecewise affine solutions for general nonlinear regression problems can also be found.