Multi-label Classification using Ensembles of Pruned Sets Submitted for Blind Review Abstract This paper presents a Pruned Sets method (PS) for multilabel classification. It is centred on the concept of treating sets of

Source URL: users.ics.aalto.fi

• Ensemble learning
• Statistical classification
• Multi-label classification
• Support vector machine
• K-nearest neighbors algorithm
• AdaBoost
• Boosting
• Machine learning

Abstract Interpretation: Exercises for day 5 [Note: you are welcome to solve these exercises in groups of 2] February 6, Define the backward collecting semantics of the three counter machine 2. Abstract the backw

Source URL: janmidtgaard.dk

Deep Features to Classify Skin Lesions Jeremy Kawahara, A¨ıcha BenTaieb, and Ghassan Hamarneh Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada ABSTRACT Diagnosing an unknown skin

Source URL: www.cs.sfu.ca

• RTT
• Computational neuroscience
• Computer vision
• Convolutional neural network
• Deep learning
• ImageNet
• Melanoma
• Dermatoscopy
• Support vector machine
• Image segmentation
• K-nearest neighbors algorithm
• Feature

Intelligent data analysis of intelligent systems David C. Krakauer, Jessica C. Flack, Simon Dedeo, Doyne Farmer & Daniel Rockmore Santa Fe Institute, Santa Fe, New Mexico, 87501, USA Abstract. We consider the value of s

Source URL: tuvalu.santafe.edu

• Statistical models
• Computational neuroscience
• Cybernetics
• Learning
• Machine learning
• Artificial neural network
• Data analysis
• ACT-R
• Prior probability
• Complex adaptive system
• System
• Economic model

Rectifying Predictions of Classifiers by Local Rules Martin Moˇzina and Ivan Bratko Faculty of Computer and Information Science, University of Ljubljana, Slovenia Abstract. The main advantage of unordered classificatio

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

• Statistical classification
• Classification rule
• CN2 algorithm
• Naive Bayes classifier
• Machine learning

Landscape Automata for Search Based Procedural Content Generation. Daniel Ashlock and Cameron McGuinness Abstract—This study introduces a new representation landscape automata for encoding heightmaps that may be used f

Source URL: eldar.mathstat.uoguelph.ca

• Cybernetics
• Mathematical optimization
• Genetic algorithms
• Heightmap
• Procedural generation
• Scenery generator
• Evolutionary algorithm
• Cellular automaton
• Fitness landscape
• Fitness function
• Genetic programming
• Finite-state machine

Pedestrian detection at 100 frames per second Rodrigo Benenson, Markus Mathias, Radu Timofte and Luc Van Gool ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium Abstract

Source URL: europa.informatik.uni-freiburg.de

• Feature detection
• Integral Channel Features
• Pedestrian detection
• Image segmentation
• AdaBoost
• Support vector machine
• ViolaJones object detection framework
• Histogram of oriented gradients

Microsoft Word - Analogy_SEQL_v10_kf.doc

Source URL: www.silccenter.org

• Semantics
• Abstraction
• Ontology
• Cognitive science
• Thought
• Analogy
• Qualitative Reasoning Group
• Structure mapping engine
• Object Process Methodology
• Machine learning
• Abstract and concrete
• Spatial relation

Characterization and Application of an External Validation Set for Salmonella Mutagenicity (Q)SAR Models Using Structural Fingerprints of Known Toxicophores Abstract # 791 Naomi L. Kruhlak1, Kevin P. Cross2, Barbara L.

Source URL: www.leadscope.com

• Machine learning
• Cheminformatics
• Computational chemistry
• Drug discovery
• Medicinal chemistry
• Quantitative structureactivity relationship
• Test set
• Autoregressive model
• Validation
• Economic model
• Prediction

Learning Generative Models via Discriminative Approaches Zhuowen Tu Lab of Neuro Imaging, UCLA Abstract

Source URL: pages.ucsd.edu

• Machine learning
• Statistical models
• Discriminative model
• Generative model
• Independent component analysis
• Image segmentation
• Gibbs sampling
• Linear classifier