436 Chapter 12 Large-Scale Machine Learning

First Page		Document Content
Date: 2014-05-28 15:45:03 Artificial intelligence Perceptron Supervised learning Neural network Training set Binary classification Linear classifier Margin classifier Statistics Machine learning Statistical classification		436 Chapter 12 Large-Scale Machine Learning Add to Reading List Source URL: infolab.stanford.edu Download Document from Source Website File Size: 328,39 KB Share Document on Facebook

	Estimating the strength of unlabeled information during semi-supervised learning Brenden M. Lake () Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology James L. McClelland (m DocID: 1xVKT - View Document
	Natural Language to Structured Query Generation via Meta-Learning Po-Sen Huang 1 Chenglong Wang 2 Rishabh Singh 3 * Wen-tau Yih 4 Xiaodong He 5 * 1. Introduction Conventional supervised training is a pervasive paradigm DocID: 1xUL3 - View Document
	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Semi-Supervised Transfer Learning Using Marginal Predictors Deshmukh, A.; Laftchiev, E. DocID: 1vqKH - View Document
	Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning Dan Garrette Chris Dyer Jason Baldridge DocID: 1vlce - View Document
	Online Semi-Supervised Learning on Quantized Graphs Michal Valko Branislav Kveton Computer Science Department Intel Labs DocID: 1vkLD - View Document