Supervised learning

Results: 1557



#Item
131Machine learning / Artificial neural networks / Computational neuroscience / Cybernetics / Computational statistics / Deep learning / Feature learning / Autoencoder / Deep belief network / Dimensionality reduction / Backpropagation / Supervised learning

Cross-modal Sound Mapping Using Deep Learning Ohad Fried Rebecca Fiebrink Princeton University

Add to Reading List

Source URL: www.ohadf.com

Language: English - Date: 2016-06-06 02:20:12
132Artificial neural networks / Machine learning / Roberto Battiti / LIONsolver / Support vector machine / Mathematical optimization / Supervised learning / Statistical classification / Multilayer perceptron / Multi-objective optimization / Backpropagation / Recurrent neural network

Roberto Battiti · Mauro Brunato The LION Way Machine Learning plus Intelligent Optimization Version 2.0 — April 2015

Add to Reading List

Source URL: intelligent-optimization.org

Language: English - Date: 2015-09-14 03:07:25
133Machine learning / Artificial neural networks / Perceptron / Conditional random field / Supervised learning / Pattern recognition / Generalization error / Structured prediction / Kernel perceptron

On Herding and the Perceptron Cycling Theorem Andrew E. Gelfand, Yutian Chen, Max Welling Department of Computer Science University of California, Irvine {agelfand,yutianc,welling}@ics.uci.edu

Add to Reading List

Source URL: lvdmaaten.github.io

Language: English - Date: 2016-07-16 15:30:43
134Machine learning / Multi-label classification / Statistical classification / Supervised learning / Test set / Pattern recognition / Support vector machine

Scalable Multi-label Classification Jesse Read Supervised by Bernhard Pfahringer and Geoff Holmes Machine Learning Group University of Waikato New Zealand

Add to Reading List

Source URL: users.ics.aalto.fi

Language: English - Date: 2011-01-21 04:46:36
135Machine learning / Semi-supervised learning / Test set / Co-training / Supervised learning / Multiple instance learning / Artificial neural network / Support vector machine / Online machine learning

2011 10th International Conference on Machine Learning and Applications Max-Coupled Learning: Application To Breast Cancer Jaime S. Cardoso and Inˆes Domingues

Add to Reading List

Source URL: medicalresearch.inescporto.pt

Language: English - Date: 2012-08-01 08:47:41
136Machine learning / Formal sciences / Artificial intelligence / Image processing / Image segmentation / Computer vision / Support vector machine / Pattern recognition / Kernel method / Multiple-instance learning / Statistical classification / Multiple kernel learning

Multi-Instance Methods for Partially Supervised Image Segmentation Andreas M¨ uller? and Sven Behnke , Autonomous Intelligent Systems

Add to Reading List

Source URL: amueller.github.io

Language: English - Date: 2016-08-04 15:59:56
137Machine learning / Image segmentation / Supervised learning / 3D modeling / K-means clustering / Graphics / Deep learning / Feature learning

Learning Parts-Based Representations of Data by David A. Ross

Add to Reading List

Source URL: www.cs.toronto.edu

Language: English - Date: 2004-10-15 10:45:48
138Ensemble learning / Statistical classification / Machine learning / AdaBoost / Boosting / Support vector machine / Supervised learning / Receiver operating characteristic / Feature selection / ViolaJones object detection framework / CoBoosting

Feature Mining for Image Classification Piotr Doll´ar1 Zhuowen Tu2 Hai Tao3

Add to Reading List

Source URL: pages.ucsd.edu

Language: English - Date: 2007-04-26 14:53:10
139Machine learning / Graphical models / Conditional random field / Stereoscopy / Vision / Image segmentation / Markov random field / Mixture model / Supervised learning / Stereopsis / Regression analysis

Learning Conditional Random Fields for Stereo Daniel Scharstein Middlebury College Middlebury, VT, USA Chris Pal

Add to Reading List

Source URL: www.cs.middlebury.edu

Language: English - Date: 2007-06-15 21:08:12
140Machine learning / Semi-supervised learning / Support vector machine / Supervised learning / Multi-label classification / Multiple instance learning / Stability

Journal of Machine Learning Research1261 Submitted 10/10; Revised 2/11; Published 4/11 Learning from Partial Labels Timothee Cour

Add to Reading List

Source URL: www.seas.upenn.edu

Language: English - Date: 2011-05-16 14:15:28
UPDATE