170 search results - page 15 / 34 » Architecture Performance Prediction Using Evolutionary Artif... |
AIIA
2003
Springer
15 years 1 months ago
2003
Springer
A novel, two stage, neural architecture for the segmentation of range data and their modeling with undeformed superquadrics is presented. The system is composed by two distinct neu...
107
Voted
DMIN
2006
14 years 11 months ago
2006
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— Ensembles are often capable of greater predictive accuracy than any of their individual members. One key attribute of ensembles’ success is the notion of diversity. However, ...
ICML
2008
IEEE
2008
IEEE
A unified architecture for natural language processing: deep neural networks with multitask learning
15 years 10 months ago
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
82
Voted
FLAIRS
2010
14 years 12 months ago
2010
We present context-sensitive Multiple Task Learning, or csMTL as a method of inductive transfer. It uses additional contextual inputs along with other input features when learning ...