Probability vector

Results: 116



#Item
21Gaussian LDA for Topic Models with Word Embeddings Rajarshi Das* , Manzil Zaheer* , Chris Dyer School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA {rajarshd, manzilz, cdyer} @cs.cmu.edu

Gaussian LDA for Topic Models with Word Embeddings Rajarshi Das* , Manzil Zaheer* , Chris Dyer School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA {rajarshd, manzilz, cdyer} @cs.cmu.edu

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Source URL: manzil.ml

Language: English - Date: 2016-01-03 02:26:26
22FAST BAYESIAN COMPRESSIVE SENSING USING LAPLACE PRIORS S. Derin Babacan1 , Rafael Molina2 , Aggelos K. Katsaggelos1 1 2 Department of Electrical Engineering

FAST BAYESIAN COMPRESSIVE SENSING USING LAPLACE PRIORS S. Derin Babacan1 , Rafael Molina2 , Aggelos K. Katsaggelos1 1 2 Department of Electrical Engineering

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Source URL: decsai.ugr.es

Language: English - Date: 2009-03-24 12:49:57
23Generic Stationary Measures and Actions Lewis Bowen∗, Yair Hartman†and Omer Tamuz‡ August 14, 2015 Abstract Let G be a countably infinite group, and let µ be a generating probability measure

Generic Stationary Measures and Actions Lewis Bowen∗, Yair Hartman†and Omer Tamuz‡ August 14, 2015 Abstract Let G be a countably infinite group, and let µ be a generating probability measure

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Source URL: people.hss.caltech.edu

Language: English - Date: 2015-08-14 13:44:04
24Mon.O1b.04  Phonotactic Language Recognition Using i-vectors and Phoneme Posteriogram Counts

Mon.O1b.04 Phonotactic Language Recognition Using i-vectors and Phoneme Posteriogram Counts

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Source URL: www.fit.vutbr.cz

Language: English - Date: 2012-09-27 10:17:05
25PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS OF I-VECTOR POSTERIOR DISTRIBUTIONS

PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS OF I-VECTOR POSTERIOR DISTRIBUTIONS

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Source URL: www.fit.vutbr.cz

Language: English - Date: 2013-06-11 09:46:40
26The Rebirth of Neural Networks Olivier Temam INRIA Saclay 1 I got requests for a recorded version of the keynote. Rather than a recorded version, I thought that a version with some of the key points of each

The Rebirth of Neural Networks Olivier Temam INRIA Saclay 1 I got requests for a recorded version of the keynote. Rather than a recorded version, I thought that a version with some of the key points of each

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Source URL: pages.saclay.inria.fr

Language: English - Date: 2012-06-30 05:52:10
27Materialization Optimizations for Feature Selection Workloads Ce Zhang†‡ †  Arun Kumar†

Materialization Optimizations for Feature Selection Workloads Ce Zhang†‡ † Arun Kumar†

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Source URL: cs.stanford.edu

Language: English - Date: 2014-03-30 16:39:39
28Bayesian Fan Charts for U.K. Inflation: Forecasting and Sources of Uncertainty in an Evolving Monetary System∗ Timothy Cogley University of California, Davis

Bayesian Fan Charts for U.K. Inflation: Forecasting and Sources of Uncertainty in an Evolving Monetary System∗ Timothy Cogley University of California, Davis

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Source URL: www.tomsargent.com

Language: English - Date: 2015-04-08 13:03:58
29An R Tutorial 1. Starting Out R is an interactive environment for statistical computing and graphics. This tutorial will assume usage of Ron a PC. However, except in rare situations, these commands will work in R

An R Tutorial 1. Starting Out R is an interactive environment for statistical computing and graphics. This tutorial will assume usage of Ron a PC. However, except in rare situations, these commands will work in R

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Source URL: pages.pomona.edu

Language: English - Date: 2005-01-24 12:59:06
30R Beginner’s Reference  Version of July 16, 2014 Basics help(command) opens documentation of command.

R Beginner’s Reference Version of July 16, 2014 Basics help(command) opens documentation of command.

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Source URL: www.ling.uni-potsdam.de

Language: English - Date: 2014-07-15 18:06:08