Classification in machine learning - PDFSEARCH.IO - Document Search Engine

Classification in machine learning
Results: 421

#	Item
111	DUE Innovators II – WP1200 Report Eyre Consulting Ltd – UK Timber Volume Estimation in Forestry Plantations: sarmap SA – Switzerland Add to Reading List Source URL: due.esrin.esa.int Language: English - Date: 2015-04-29 08:48:27 Geodesy Machine learning Geophysical survey Interferometric synthetic aperture radar Statistical classification Advanced Land Observation Satellite Forestry Calibration RISAT Spaceflight Statistics Radar
112	Comparing performance and robustness of SVM and ANN for fault diagnosis in a centrifugal pump Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 22:31:53 Learning Statistical classification Support vector machines Stability Empirical risk minimization Perceptron Artificial neural network Least squares support vector machine Machine learning Statistics Neural networks
113	Spam Filtering using Inexact String Matching in Explicit Feature Space with On-Line Linear Classifiers D. Sculley, Gabriel M. Wachman, and Carla E. Brodley Department of Computer Science, Tufts University Medford, MA 021 Add to Reading List Source URL: trec.nist.gov Language: English Machine learning Computing Artificial intelligence Spamming Natural language processing Anti-spam techniques Pattern recognition Naive Bayes classifier Perceptron Statistics Statistical classification Spam filtering
114	Mitigating the Risks of Thresholdless Metrics in Machine Learning Evaluation by Kendrick Boyd Add to Reading List Source URL: pages.cs.wisc.edu Language: English - Date: 2014-08-27 07:49:10 Measurement Receiver operating characteristic Socioeconomics Statistical classification Confidence interval Differential privacy Bootstrapping Curve Statistics Statistical inference Biostatistics
115	Published as a conference paper at ICLRM OVE E VALUATION IN G O U SING D EEP C ONVOLUTIONAL N EURAL N ETWORKS Chris J. Maddison University of Toronto Add to Reading List Source URL: www.cs.toronto.edu Language: English Applied mathematics Neural networks Computer Go Computational statistics Backgammon Artificial neural network Monte Carlo method Statistical classification Rollout Machine learning Statistics Computational neuroscience
116	Applying Probabilistic Thematic Clustering for Classification in the TREC 2005 Genomics Track Z. H. Zheng, S. Brady, A. Garg, H. Shatkay School of Computing, Queen’s University Kingston, Ontario, Canada {zhi, 1sb1, 2ag Add to Reading List Source URL: trec.nist.gov Language: English Binary classification Naive Bayes classifier Support vector machine Classifier Boosting methods for object categorization Bag of words model in computer vision Statistics Statistical classification Machine learning
117	Imran et al. Coordinating Human and Machine Intelligence in Crises Coordinating Human and Machine Intelligence to Classify Microblog Add to Reading List Source URL: chato.cl Language: English - Date: 2014-02-10 04:28:54 Learning Statistical classification Supervised learning Document classification Crisis Margin Random forest Machine learning Artificial intelligence Computational statistics
118	The Utility of Abstaining in Binary Classification Akshay Balsubramani University of California, San Diego Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2013-12-05 17:49:40 Mathematics Analysis of algorithms Supervised learning Algorithm Online machine learning Randomized algorithm Time complexity Statistical classification Margin classifier Theoretical computer science Applied mathematics Machine learning
119	Discriminative Fields for Modeling Spatial Dependencies in Natural Images Sanjiv Kumar and Martial Hebert The Robotics Institute Carnegie Mellon University Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2004-09-12 21:34:08 Discriminative model Hidden Markov model Generalized linear model Maximum likelihood Statistical model Statistical classification Logistic function Mixture model Perceptron Statistics Machine learning Conditional random field
120	University of Alberta Library Release Form Name of Author: Yi Shi Title of Thesis: Gene Expression Microarray Missing Value Imputation and Its Effects in Downstream Data Analyses Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-08-19 16:00:15 Imputation Missing data Statistical classification Glioma K-nearest neighbor algorithm Statistics Data analysis Machine learning

UPDATE