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Computational statistics
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#	Item
161	Learning stable, regularised latent models of neural population dynamics Lars Buesing, Jakob H. Macke and Maneesh Sahani Gatsby Computational Neuroscience Unit University College London, UK 17 Queen Square, London, WC1N Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:44 Estimation theory Regression analysis Statistical models Bayesian statistics Econometrics Maximum likelihood estimation Expectationmaximization algorithm Variational Bayesian methods Linear regression Autoregressive model Variance function Mixture model
162	Reproducibility is imperative for any scientific discovery. More often than not, modern scientific findings rely on statistical analysis of high-dimensional data. At a minimum, reproducibility manifests itself in stabili Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Machine learning Computational statistics Statistical models Statistical theory Statistical inference Bootstrapping Cross-validation Statistics Stability
163	arXiv:1503.00781v1 [stat.OT] 2 MarTeaching and Learning Data Visualization: Ideas and Assignments Deborah Nolan Berkeley, CA∗ Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-03-03 20:36:00 Visualization Infographics Computational science Computer graphics Data visualization Information technology governance Exploratory data analysis Statistics education Statistical graphics Learning analytics Interactive data visualization
164	Structured Output Layer with Auxiliary Targets for Context-Dependent Acoustic Modelling Pawel Swietojanski, Peter Bell, Steve Renals The Centre for Speech Technology Research, University of Edinburgh, United Kingdom {p.s Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Artificial neural networks Computational neuroscience Computational statistics Automatic identification and data capture Computer accessibility Speech recognition Language model Convolutional neural network Perceptron Recurrent neural network Machine learning Deep learning
165	Variation in word frequency distributions: Definitions, measures and implications for a corpusbased language typology* Christian Bentza,b, Dimitrios Alikaniotisa, Tanja Samardžićc and Paula Butterya a Add to Reading List Source URL: www.christianbentz.de Language: English - Date: 2015-11-04 13:18:31 Computational linguistics Summary statistics Corpus linguistics Quantitative linguistics Natural language processing Frequency Morphology Word lists by frequency N-gram
166	PDF Document Add to Reading List Source URL: en.sceco.umontreal.ca Language: English - Date: 2015-09-25 14:10:50 Statistical inference Econometrics Regression analysis Formal sciences Computational statistics Bootstrapping Resampling Statistics Prediction interval Linear regression Economic model Universit de Montral
167	SIMPLIFYING NEURAL NETS BY DISCOVERING FLAT MINIMA Sepp Hochreiter Jurgen Schmidhubery Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2011-08-11 02:59:44 Artificial neural networks Computational neuroscience Computational statistics Mathematical psychology Backpropagation Generalization error
168	Structural-RNN: Deep Learning on Spatio-Temporal Graphs Ashesh Jain1,2 , Amir R. Zamir2 , Silvio Savarese2 , and Ashutosh Saxena3 Deep Recurrent Neural Network architectures, though remarkably capable at modeling sequenc Add to Reading List Source URL: cvgl.stanford.edu Language: English - Date: 2016-04-30 18:59:32 Artificial neural networks Graph theory Artificial intelligence Recurrent neural network Computational neuroscience Computational statistics Deep learning Long short-term memory Connectivity Graphical model Graph Directed graph
169	Automated Abstraction of Dynamic Neural Systems for Natural Language Processing Henrik Jacobsson, Stefan L. Frank & Diego Federici Abstract— This paper presents a variant of the Crystallizing Substochastic Sequential M Add to Reading List Source URL: www.stefanfrank.info Language: English - Date: 2012-03-11 05:07:27 Finite automata Artificial neural networks Computational neuroscience Computational statistics Artificial intelligence Recurrent neural network Moore machine Parsing Quantization Finite-state machine
170	Less is Less in Language Acquisition Douglas L. T. Rohde David C. Plaut Carnegie Mellon University and the Center for the Neural Basis of Cognition February 28, 2002 Add to Reading List Source URL: tedlab.mit.edu Language: English - Date: 2012-08-07 12:32:37 Computational neuroscience Computational statistics Mathematical psychology Computational linguistics Artificial neural networks

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