<--- Back to Details
First PageDocument Content
Computational neuroscience / Neuroscience / Learning / Markov models / Cognitive science / Sequence learning / Artificial neural network / Recurrent neural network / Reinforcement learning / Machine learning / Science / Neural networks
Date: 2003-08-26 10:54:36
Computational neuroscience
Neuroscience
Learning
Markov models
Cognitive science
Sequence learning
Artificial neural network
Recurrent neural network
Reinforcement learning
Machine learning
Science
Neural networks

Add to Reading List

Source URL: www.cogsci.rpi.edu

Download Document from Source Website

File Size: 185,33 KB

Share Document on Facebook

Similar Documents

Modelling the way: Using action sequence archetypes to differentiate learning pathways from learning outcomes Kelvin H R Ng Kevin Hartman

DocID: 1v4iV - View Document

Sequence to Sequence Learning with Neural Networks Ilya Sutskever Google

DocID: 1uCpL - View Document

Smooth Imitation Learning for Online Sequence Prediction

DocID: 1ugJ3 - View Document

Early African History -- learning and teaching about Africa -Northeastern University, Winter 2000 Sequence 2, MWTh 9:15, 209 RY Prof. Patrick Manning cross-listed:

DocID: 1uaX2 - View Document

How To Explore a Topic of Interest at a Molecular Level Learning Objectives: To broadly understand/learn more about the topic of interest To identify name(s) (and where possible sequence) of key players relevant to the

DocID: 1tMmE - View Document