arXiv:1110.0107v2 [cs.CV] 5 AprLearning to relate images: Mapping units, complex cells and simultaneous eigenspaces Roland Memisevic University of Frankfurt

Source URL: arxiv.org

• Machine learning
• Learning
• Artificial intelligence
• Estimation theory
• Computational neuroscience
• Computational statistics
• Dimension reduction
• Feature learning
• Mixture model
• Linear regression
• Autoencoder
• Gibbs sampling

JMLR: Workshop and Conference Proceedings 1: 1-16 KDD Cup 2010 Feature Engineering and Classifier Ensemble for KDD Cup 2010

Source URL: pslcdatashop.org

• Statistics
• Machine learning
• Artificial intelligence
• Statistical classification
• Ensemble learning
• Regression analysis
• Estimation theory
• Linear classifier
• Support vector machine
• AdaBoost
• Logistic regression
• Netflix Prize

Enhancing Human Action Recognition through Spatio-temporal Feature Learning and Semantic Rules Karinne Ramirez-Amaro1 , Eun-Sol Kim2 , Jiseob Kim2 , Byoung-Tak Zhang2 , Michael Beetz3 and Gordon Cheng1 Abstract— In thi

Source URL: mediatum.ub.tum.de

1 Under consideration for publication in Theory and Practice of Logic Programming claspfolio 2: Advances in Algorithm Selection for Answer Set Programming

Source URL: www.cs.uni-potsdam.de

• Machine learning
• Algorithm Selection
• Answer set programming
• Solver
• Feature selection
• Algorithm
• K-nearest neighbors algorithm
• K-means clustering
• Problem solving
• Branch and bound

On spatio-temporal feature learning Roland Memisevic Department of Computer Science, University of Frankfurt Unsupervised feature learning and sparse coding have recently gained attention in the vi

Source URL: snowbird.djvuzone.org

WolfWare Standard Operating Practices/Procedures (SOPs) North Carolina State University Feature Requests, SOP.WW-WolfWare.002 Authority: Vice Provost for Distance Education and Learning Technologies (DELTA) History: Firs

Source URL: wolfware.ncsu.edu

Parallel Feature Selection inspired by Group Testing Yingbo Zhou∗ Utkarsh Porwal∗ CSE Department SUNY at Buffalo {yingbozh, utkarshp}@buffalo.edu

Source URL: papers.nips.cc

• Statistics
• Statistical classification
• Computer programming
• Data
• Machine learning
• Model selection
• Nonparametric statistics
• Support vector machine
• Feature selection
• Test set
• Separable space
• Recursion

Learning with Locally Linear Feature Regularization Ted Sandler, John Blitzer, Lyle Ungar Department of Computer and Information Science University of Pennsylvania, Philadelphia, PAtsandler, blitzer, ungar)@seas

Source URL: snowbird.djvuzone.org

Going Mini: Extreme Lightweight Spam Filters D. Sculley Gordon V. Cormack Google, Inc.

Source URL: plg.uwaterloo.ca

• Machine learning
• Artificial intelligence
• Learning
• Statistical classification
• Ensemble learning
• Regression analysis
• Dimension reduction
• Feature selection
• Supervised learning
• Support vector machine
• Boosting
• Kernel method

New Russian language learning resources! This flyer showcases a selection of our most recently published Russian language learning materials in addition to those which feature in our latest Russian catalogueP

Source URL: www.younglinguists.com