Questions Kircher et alNature Genetics 46:A general framework for estimating the relative pathogenicity of human genetic variants 1. What is the problem the authors were tempting to tackle? 2. What strat

Source URL: genome.sph.umich.edu

• Parts of speech
• Classifier
• Athanasius Kircher
• Science and technology in Germany
• Academia
• Linguistics

Proceedings of the 4th IEEE International Conference on Data Mining, (ICDM-2004), Brighton, UK, November, 2004 Active Feature-Value Acquisition for Classifier Induction Prem Melville Dept. of Computer Sciences

Source URL: www.cs.utexas.edu

Heterogeneous Domain Adaptation: Learning Visual Classifiers from Textual Description Mohamed Elhoseiny Babak Saleh Ahmed Elgammal Department of Computer Science, Rutgers University, New Brunswick, NJ

Source URL: paul.rutgers.edu

• Artificial intelligence
• Machine learning
• Statistical classification
• Learning
• Cognition
• Pattern recognition
• Classifier
• Boosting

The U. Penn ACE system uses a pipeline of independent stages to process text. Coreference Classifier 

Source URL: ed.loper.org

Revealing Household Characteristics from Smart Meter Data Christian Beckela,∗, Leyna Sadamoria , Thorsten Staakeb , Silvia Santinic a Institute for Pervasive Computing, Department of Computer Science, ETH Zurich,

Source URL: www.vs.inf.ethz.ch

• Statistical classification
• Electric power
• Electromagnetism
• Statistics
• Learning
• Machine learning
• Smart meter
• Electricity meter
• Support vector machine
• K-nearest neighbors algorithm
• Classifier
• AdaBoost

Near-Optimal Evasion of Convex-Inducing Classifiers Blaine Nelson1 Benjamin I. P. Rubinstein1 Ling Huang2 Anthony D. Joseph1,2

Source URL: jmlr.csail.mit.edu

• Statistical classification
• Operations research
• Convex analysis
• Mathematical optimization
• Support vector machine
• Linear classifier
• Ellipsoid method
• Convex optimization
• Convex function

ICCV’2013 Sydney, Australia VisDA Workshop Heterogeneous Domain Adaptation:

Source URL: paul.rutgers.edu

• Machine learning
• Statistical classification
• International Conference on Computer Vision
• Regression analysis
• Classifier


 1
 User documentation for running the Peptide Classifier from Sequence and Structure (PCSS) web serverPlease direct all feedback and questions to

Source URL: modbase.compbio.ucsf.edu

EUSIPCO EVENT DETECTION IN SHORT DURATION AUDIO USING GAUSSIAN MIXTURE MODEL AND RANDOM FOREST CLASSIFIER Anurag Kumar1, Rajesh M Hegde1, Rita Singh2, Bhiksha Raj2 1. Indian Institute of Technology Kanpu

Source URL: home.iitk.ac.in

High-Level Fusion of Depth and Intensity for Pedestrian Classification Marcus Rohrbach1,3 , Markus Enzweiler2 and Dariu M. Gavrila1,4 1 Environment Perception, Group Research, Daimler AG, Ulm, Germany

Source URL: dl.dropboxusercontent.com

• Feature detection
• Machine learning
• Ensemble learning
• Statistical classification
• Histogram of oriented gradients
• Support vector machine
• AdaBoost
• Pattern recognition
• Classifier
• Edge detection
• Pedestrian detection