<--- Back to Details
First PageDocument Content
Natural language processing / Information retrieval / Statistical theory / Vector space model / Kalman filter / Word square / Bayesian inference / Laplace transform / Human–computer information retrieval / Statistics / Science / Mathematical analysis
Date: 2011-11-25 12:14:50
Natural language processing
Information retrieval
Statistical theory
Vector space model
Kalman filter
Word square
Bayesian inference
Laplace transform
Human–computer information retrieval
Statistics
Science
Mathematical analysis

Add to Reading List

Source URL: eil.stanford.edu

Download Document from Source Website

File Size: 1,03 MB

Share Document on Facebook

Similar Documents

Observational astronomy / Astronomy / Parallel computing / Bayesian network / Sloan Digital Sky Survey / Computing / Bayesian inference / Astronomical survey / Gravitational lens / Computer cluster

Cataloging the Visible Universe through Bayesian Inference at Petascale Jeffrey Regier∗ , Kiran Pamnany† , Keno Fischer‡ , Andreas Noack§ , Maximilian Lam∗ , Jarrett Revels§ , Steve Howard¶ , Ryan Giordano¶ ,

DocID: 1xVn9 - View Document

Humancomputer interaction / Artificial intelligence / Robot control / Virtual reality / Multimodal interaction / Video game controllers / Robot navigation / Haptic technology / Haptic perception / Simultaneous localization and mapping / Occupancy grid mapping / Kalman filter

Haptic SLAM: an ideal observer model for Bayesian inference of object shape and hand pose from contact dynamics Feryal M. P. Behbahani1 , Guillem Singla–Buxarrais2 and A. Aldo Faisal1,2,3 1

DocID: 1xTqR - View Document

Improving the Identifiability of Neural Networks for Bayesian Inference Arya A. Pourzanjani∗, Richard M. Jiang∗, Linda R. Petzold Department of Computer Science University of California, Santa Barbara

DocID: 1uZys - View Document

MAP estimate on GLMs Stochastic Gradient Descent (SGD) MAP to Bayesian Inference

DocID: 1uTAz - View Document

Bayesian Analysis, Number 4, pp. 817–846 Inference of global clusters from locally distributed data

DocID: 1uGu0 - View Document