Nowcasting Events from the Social Web with Statistical Learning VASILEIOS LAMPOS and NELLO CRISTIANINI, University of Bristol, UK We present a general methodology for inferring the occurrence and magnitude of an event or

Source URL: www.lampos.net

• Machine learning
• Statistical methods
• Econometrics
• Model selection
• Estimation theory
• Feature selection
• Lasso
• Supervised learning
• Bootstrapping
• Pattern recognition
• Least squares
• Linear regression

SINAI at Affect Task in MediaEval 2010 ∗ José M. Perea-Ortega, Arturo Montejo-Ráez, M. Teresa Martín-Valdivia and L. Alfonso Ureña-López SINAI Research Group, Computer Science Department University of Jaén 23071

Source URL: www.multimediaeval.org

• Covariance and correlation
• Independence
• Nonparametric statistics
• Natural language processing
• Computational linguistics
• Sentiment analysis
• Correlation and dependence
• Rank correlation
• Boredom
• G factor
• Speech recognition
• Feature selection

Classification and Feature Selection on Matrix Data with Application to Gene-Expression Analysis Sepp Hochreiter Klaus Obermayer Fakult¨at f¨

Source URL: www.bioinf.jku.at

• Linear algebra
• Vectors
• Numerical linear algebra
• Statistical classification
• Support vector machine
• Euclidean vector
• Basis
• Kernel
• Vector space
• Isotope lists
• 73-96

What matters: Size does, Smarts Don’t Albrecht Zimmermann and Bj¨orn Bringmann Department of Computer Science, Katholieke Universiteit Leuven, Celestijnenlaan 200A, 3001 Leuven, Belgium {Albrecht.Zimmermann,Bjorn.Brin

Source URL: www.ke.tu-darmstadt.de

• Model selection
• Machine learning
• Formal sciences
• Statistical classification
• Cross-validation
• Support vector machine
• Data mining
• Feature selection
• DM

IMPROVING MOVING MAPS: A SYSTEM FOR FEATURE SELECTION BASED ON A NEW COGNITIVE MODEL Paul Van Zuyle Dept. of Geography University of California Santa Barbara, CA 93106

Source URL: mapcontext.com

• Cartography
• Cartographic generalization
• Generalization
• Topological map
• Map
• Geographic information system
• Level of detail
• Distance
• Scale
• Conceptual model

Feature Selection and Pose Estimation From Known Planar Objects Using Monocular Vision Shengdong Xu1 and Ming Liu2 1 2

Source URL: www.ee.ust.hk

• Geometry
• Artificial intelligence
• Computer vision
• Robot control
• Transformation
• Stereophotogrammetry
• Pose
• Visual servoing
• Random sample consensus
• Normal
• Rotation matrix
• Translation

BIOINFORMATICS Vol. 1 noPages 1–8 Feature Selection and Transduction for Prediction

Source URL: www.tsc.uc3m.es

MODELING AND OPTIMIZATION OF A ROBUST GAS SENSOR Margarita A. Rebolledo C., Sebastian Krey, Thomas Bartz-Beielstein, Oliver Flasch, Andreas Fischbach, J¨org Stork SPOTSeven Lab, TH K¨ oln, Gummersbach, Germany

Source URL: bioma.ijs.si

• Regression analysis
• Econometrics
• Statistical methods
• Estimation theory
• Parametric statistics
• Linear regression
• Kriging
• Gaussian process
• Least squares
• Feature selection
• Lasso
• Ordinary least squares

Feature Selection and Validation for Human Classifiers Jay B. Martin, Eric Colson, and Brad Klingenberg Stitch Fix, Inc. {jmartin,ecolson,brad}@stitchfix.com Abstract

Source URL: www.humancomputation.com

Extending Neuro-evolutionary Preference Learning through Player Modeling H´ector P. Mart´ınez, Kenneth Hullett, and Georgios N. Yannakakis, Member, IEEE Abstract—In this paper we propose a methodology for improving

Source URL: game.itu.dk

• Artificial neural networks
• Dimension reduction
• Computational neuroscience
• Computational statistics
• Georgios N. Yannakakis
• Affective computing
• Machine learning
• Preference learning
• Competitive learning
• Artificial intelligence
• Self-organizing map
• Feature selection