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Learning space
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#	Item
441	Sensors and Actuators B–317 Drift counteraction with multiple self-organising maps for an electronic nose Marzia Zuppa a , Cosimo Distante a,∗ , Pietro Siciliano a , Krishna C. Persaud b a Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-07-19 09:08:02 Statistics Artificial neuron Competitive learning Vector quantization Savitzky–Golay smoothing filter Discrete wavelet transform Wavelet Self-organizing map Vector space Neural networks Algebra Mathematics
442	JMLR: Workshop and Conference Proceedings 29:1–16, 2013 ACML 2013 Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2013-11-09 20:30:18 Dimension reduction Differential topology Computational statistics Nonlinear dimensionality reduction Normal distribution Manifold Differentiable manifold Principal component analysis Divergence Statistics Multivariate statistics Data analysis
443	UoM_LIMITED_SPACE_logo__white Add to Reading List Source URL: www.euronuclear.org Language: English - Date: 2015-03-31 04:00:45 Technology Design for X Systems engineering Engineering Reliability engineering Maintenance engineering Maintainability Blended learning Virtual learning environment Education Knowledge Maintenance
444	Machine Learning, 48, 51–84, 2002 c 2002 Kluwer Academic Publishers. Manufactured in The Netherlands. Metric-Based Methods for Adaptive Model Selection and Regularization Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-24 16:48:47 Kullback–Leibler divergence Regression analysis Regularization Metric space Cross-validation Statistical hypothesis testing Normalizing constant Statistics Machine learning Supervised learning
445	 Lesson Plan – Private or Public? At the end of this lesson students will be able to: • identify private and public spaces. These learning objectives are related to the following Orbit key concepts: • Public and Add to Reading List Source URL: orbit.org.au Language: English - Date: 2013-10-16 07:12:45 Lesson plan PlayStation Home PlayStation Network Public space
446	An Adaptive Data Structure for Nearest Neighbors Search in an General Metric Space Joseph Thomas Thesis Adviser: John Kececioglu June 1, 2010 Abstract Add to Reading List Source URL: www.cs.arizona.edu Language: English - Date: 2010-09-30 15:07:46 Search algorithms Metric geometry Topology Discrete geometry Machine learning Nearest neighbor search Metric K-nearest neighbor algorithm Bin Geometry Mathematics Information science
447	Recognition of Prior Learning (RPL) Pathway Application PART ONE – INTRODUCTION What is Recognition of Prior Learning (RPL)? Add to Reading List Source URL: www.pibt.wa.edu.au Language: English - Date: 2011-09-01 00:44:34 Australian Qualifications Framework Space Shuttle Main Engine Extensible Storage Engine Computing Oceania Education in Australia RPL Recognition of prior learning
448	Module Specification GENERAL INFORMATION Module name Basic Statistics for Public Health and Policy Add to Reading List Source URL: www.londoninternational.ac.uk Language: English - Date: 2013-06-26 07:41:05 Distance education Human spaceflight Manned spacecraft International Space Station E-learning Spaceflight Association of Commonwealth Universities London School of Hygiene & Tropical Medicine
449	A Behavioural Biometric System Based on Human Computer Interaction Hugo Gamboaa and Ana Fredb a Escola Superior de Tecnologia de Set´ Add to Reading List Source URL: www.lx.it.pt Language: English - Date: 2010-07-24 14:01:23 Linear algebra Machine learning Biometrics Surveillance Pattern recognition Keystroke dynamics Vector space Euclidean vector X Window System Algebra Mathematics Abstract algebra
450	Noname manuscript No. (will be inserted by the editor) A survey of the state of the art in learning the kernels M. Ehsan Abbasnejad1 · Dhanesh Ramachandram2 · Rajeswari Mandava3 Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2015-03-17 00:39:18 Non-parametric statistics Kernel density estimation Kernel trick Fisher kernel Support vector machine Kernel Reproducing kernel Hilbert space Linux kernel Supervised learning Statistics Machine learning Statistical classification

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