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Classification in machine learning
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51	Feature Selection for Highly Skewed Sentiment Analysis Tasks Can Liu Indiana University Bloomington, IN, USA Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2015-07-28 17:16:46 Machine learning Statistical classification Dimension reduction Feature detection Natural language processing Binary classification Sentiment analysis Feature selection Rough set Naive Bayes classifier Accuracy and precision Feature extraction
52	INSTRUCTIONS FOR ENMAP CONTEST Dear colleagues, as explained in our conference contribution (Braun et al. 2015), you should proceed as follows with the data downloaded from our website. Add to Reading List Source URL: www.ipf.kit.edu Language: English - Date: 2016-01-20 11:11:05 Machine learning Algorithm Mathematical logic Theoretical computer science Photogrammetry Statistical classification
53	Computer Vision Exercise Session 10 – Image Categorization Object Categorization  Task Description Add to Reading List Source URL: www.cvg.ethz.ch Language: English - Date: 2015-12-15 06:45:03 Feature detection Machine learning Bag-of-words model in computer vision Histogram of oriented gradients Feature Classifier Visual Word Bag-of-words model Statistical classification Boosting Object categorization from image search
54	Automatic Detection and Classification of Prosodic Events Andrew Rosenberg Submitted in partial fulfillment of the Requirements for the degree of Doctor of Philosophy Add to Reading List Source URL: www1.cs.columbia.edu Language: English - Date: 2009-07-19 10:31:46 Tone Systemic functional linguistics Prosody Phonology Machine learning Pitch accent Part-of-speech tagging Intonation Statistical classification Logistic regression ToBI Regression analysis
55	Microsoft Word - IBSNew_Trends_in_iTECH-final Add to Reading List Source URL: foibg.com Language: English - Date: 2015-02-02 08:46:12 Machine learning Statistical classification Actuarial science Formal sciences Statistical theory Risk Linear classifier Pattern recognition Statistics Expected value Loss function Value at risk
56	Using Pre-Trained Models for Fine-Grained Image Classification in Fashion Field Anna Iliukovich-Strakovskaia Alexey Dral Add to Reading List Source URL: kddfashion2016.mybluemix.net Language: English - Date: 2016-08-14 10:56:50 Machine learning Deep learning Convolutional neural network Pattern recognition Artificial neural network Computer vision Boosting Supervised learning Dimensionality reduction ImageNet Statistical classification Cross-validation
57	A SUPERVISED APPROACH FOR DETECTING BOUNDARIES IN MUSIC USING DIFFERENCE FEATURES AND BOOSTING Douglas Turnbull1 , Gert Lanckriet2 Computer Science & Engineering1 Electrical & Computer Engineering2 University of Californ Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Music information retrieval Machine learning Timefrequency analysis Statistical classification Chroma feature Music technology Image segmentation Mel-frequency cepstrum AdaBoost Linear classifier Supervised learning Diff utility
58	Master thesis project at Vironova AB in image analysis and machine learning Convolutional neural networks for classification of transmission electron microscopy imagery Convolutional neural networks (CNNs) have played a Add to Reading List Source URL: www.cb.uu.se Language: English - Date: 2016-02-02 11:46:59
59	An Analysis of Single-Layer Networks in Unsupervised Feature Learning Adam Coates Stanford University Computer Science Dept. Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2014-06-02 17:06:00 Machine learning Statistics Artificial intelligence Learning Feature learning Deep learning K-means clustering Pattern recognition Supervised learning Statistical classification Artificial neural network Cluster analysis

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