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Support vector machine
Results: 2011

#	Item
291	CS 229 project report Younggon Kim () Smarter text input system for mobile phone 1. Abstract Machine learning algorithm was applied to text input system called T9. Support vector machine Add to Reading List Source URL: cs229.stanford.edu Language: English - Date: 2011-09-14 20:33:03
292	WIC Wintermeeting, February 1, 2016 From Data Compression to Online Machine Learning Tim van Erven Add to Reading List Source URL: www.timvanerven.nl Language: English - Date: 2016-02-01 08:21:05 Numerical analysis Machine learning Applied mathematics Online machine learning Mathematical optimization Gradient descent Statistical classification Computational statistics Artificial neural networks Support vector machine Stochastic gradient descent
293	Optimizing Non-decomposable Performance Measures: A Tale of Two Classes Harikrishna Narasimhan∗ Indian Institute of Science, Bangalore, INDIA HARIKRISHNA @ CSA . IISC . ERNET. IN Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:47 Mathematical analysis Machine learning Learning Statistics Operations research Statistical classification Stochastic optimization Convex optimization Mathematical optimization Support vector machine Distribution Stochastic gradient descent
294	Big Data Small Footprint: The Design of A Low-Power Classifier for Detecting Transportation Modes Meng-Chieh Yu ∗ Tong Yu ∗ Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2014-07-26 10:13:13 Statistical classification Electromagnetism Measuring instruments Physics Support vector machine Statistics Gyroscope Linear classifier Accelerometer Fast Fourier transform Global Positioning System Magnetometer
295	Lecture Notes on Online Learning DRAFT Alexander Rakhlin —– These lecture notes contain material presented in the Statistical Learning Theory course at UC Berkeley, Spring’08. Add to Reading List Source URL: stat.wharton.upenn.edu Language: English - Date: 2010-04-10 16:56:09 Machine learning Learning Analysis Artificial intelligence Mathematical analysis Inverse problems Statistical classification Convex optimization Support vector machine Mathematical optimization Regularization Statistical learning theory
296	Pragmatic Text Mining: Minimizing Human Effort to Quantify Many Issues in Call Logs Add to Reading List Source URL: www.kirshenbaum.net Language: English - Date: 2014-02-14 19:39:21 Machine learning Statistical classification Data mining Cluster analysis Geostatistics K-means clustering Pattern recognition Support vector machine Supervised learning Naive Bayes classifier Determining the number of clusters in a data set Semi-supervised learning
297	Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning Yuhui Quan1 , Yan Huang2 , Hui Ji1 1 2 Add to Reading List Source URL: www.cv-foundation.org Language: English Algebra Linear algebra Mathematics Machine learning Numerical linear algebra Signal processing Sparse dictionary learning Unsupervised learning Sparse approximation Feature learning K-SVD Support vector machine
298	Summary of the DREAM8 Parameter Estimation Challenge: Toward Parameter Identification for Whole-Cell Models Add to Reading List Source URL: covert.stanford.edu Language: English - Date: 2015-10-29 14:40:47 Bioinformatics Data Information Statistics Least squares Systems biology Support vector machine Parameter Prediction
299	Delphi Towards a Recommender System That Suggests Models and Parameters for Data Kalyan Veeramachaneni Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2015-01-07 23:10:04 Software Statistical classification Support vector machine Computational neuroscience Computational statistics Computing Applied mathematics Artificial neural network Linux kernel
300	Classification with Low Rank and Missing Data Elad Hazan Princeton University and Microsoft Research, Herzliya EHAZAN @ CS . PRINCETON . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:45 Algebra Mathematics Linear algebra Statistical classification Matrix theory Functional analysis Multivariate statistics Matrix completion Eigenvalues and eigenvectors Principal component analysis Projection Support vector machine

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