Robot Learning with a Spatial, Temporal, and Causal And-Or Graph Caiming Xiong∗ , Nishant Shukla∗ , Wenlong Xiong, and Song-Chun Zhu Abstract— We propose a stochastic graph-based framework for a robot to understand

First Page		Document Content
Date: 2017-05-18 12:57:06 Metaphysics Mathematics Applied mathematics Computational neuroscience Graph theory Artificial neural network Market research Mathematical psychology Bayesian network Causality Graph rewriting Motion planning		Robot Learning with a Spatial, Temporal, and Causal And-Or Graph Caiming Xiong∗ , Nishant Shukla∗ , Wenlong Xiong, and Song-Chun Zhu Abstract— We propose a stochastic graph-based framework for a robot to understand Add to Reading List Source URL: shukla.io Download Document from Source Website File Size: 1,27 MB Share Document on Facebook

	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 DocID: 1tmtK - View Document
	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 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