<--- Back to Details
First PageDocument Content
Machine learning / Cognition / Applied mathematics / Cognitive science / Deep learning / Semi-supervised learning / Supervised learning / Feature learning / Artificial neural network / Support vector machine / Deep belief network / Autoencoder
Date: 2015-09-09 11:04:44
Machine learning
Cognition
Applied mathematics
Cognitive science
Deep learning
Semi-supervised learning
Supervised learning
Feature learning
Artificial neural network
Support vector machine
Deep belief network
Autoencoder

Learning a Deep Hybrid Model for Semi-Supervised Text Classification Alexander G. Ororbia II, C. Lee Giles, David Reitter College of Information Sciences and Technology The Pennsylvania State University, University Park,

Add to Reading List

Source URL: www.anthology.aclweb.org

Download Document from Source Website

File Size: 228,66 KB

Share Document on Facebook

Similar Documents

An Artificial Neural Network and Taguchi Integrated Approach to the Optimization of Performance and Emissions of Direct Injection Diesel Engine

An Artificial Neural Network and Taguchi Integrated Approach to the Optimization of Performance and Emissions of Direct Injection Diesel Engine

DocID: 1vflA - View Document

Neural networks Feedforward neural network - artificial neuron September Abstract6, 2012

Neural networks Feedforward neural network - artificial neuron September Abstract6, 2012

DocID: 1tmtK - View Document

Neural networks Feedforward neural network - multilayer neural network ARTIFICIAL NEURON 1

Neural networks Feedforward neural network - multilayer neural network ARTIFICIAL NEURON 1

DocID: 1tkaU - View Document

Neural networks Feedforward neural network - capacity of neural network ARTIFICIAL NEURON 1

Neural networks Feedforward neural network - capacity of neural network ARTIFICIAL NEURON 1

DocID: 1tfkQ - View Document

Genome scale classification of recombinant and non-recombinant HIV-1 sequences using artificial neural network ensembles Dr. Ashok Kumar Dwivedi, Assistant Professor, Department of Bioinformatics, Mathematics and Comp

DocID: 1s7Nx - View Document