Multiclass Boosting with Repartitioning Ling Li Learning Systems Group, California Institute of Technology, Pasadena, CA 91125, USA Abstract

Source URL: www.work.caltech.edu

• Artificial intelligence
• Learning
• Perceptron
• Support vector machine
• AdaBoost
• Margin classifier
• Boosting
• Multiclass classification
• Statistics
• Statistical classification
• Ensemble learning

Carbon Dioxide (CO2) Emissions and Co-pollutant Health Impacts from Selected Industrial Facilities in the Los Angeles Area Copyright Natural Resources Defense Council, Boosting the Benefits: Improving Air Quality and Hea

Source URL: www.nrdc.org

S.V.N. Vishwanathan Departments of Statistics and Computer Science Purdue University 250 N. University Street W. Lafayette, INUSA

Source URL: www.stat.purdue.edu

• Support vector machine
• Kernel methods
• John Shawe-Taylor
• Conference on Neural Information Processing Systems
• Journal of Machine Learning Research
• Boosting
• Computational learning theory
• International Conference on Machine Learning
• Machine learning
• Artificial intelligence
• Learning

LEARN++: AN INCREMENTAL LEARNING ALGORITHM FOR MULTILAYER PERCEPTRON NETWORKS R. Polikar*, L.Udpa*, S.S. Udpa*,**V. Honavar** *Dept. of Electrical and Computer Engineering, Dept. of Computer Science Iowa State University

Source URL: www.cs.iastate.edu

• Ensemble learning
• AdaBoost
• Boosting
• Supervised learning
• Perceptron
• Statistical classification
• Alternating decision tree
• Machine learning
• Artificial intelligence
• Learning

Feed Distillation Using AdaBoost and Topic Maps Wai-Lung Lee, Andreas Lommatzsch, Christian Scheel DAI-Labor Technical University Berlin Ernst-Reuter-Platz 7 Berlin, Germany

Source URL: trec.nist.gov

• Statistics
• Information retrieval
• AdaBoost
• Machine learning
• Statistical classification
• Parts of speech
• Boosting
• Relevance
• Spam blog
• Ensemble learning
• Information science
• Artificial intelligence

Detecting avocados to zucchinis: what have we done, and where are we going? Olga Russakovsky1 , Jia Deng1 , Zhiheng Huang1 , Alexander C. Berg2 , Li Fei-Fei1 Stanford University1 , UNC Chapel Hill2 Abstract

Source URL: web.eecs.umich.edu

• Caltech 101
• LabelMe
• Object recognition
• Part-based models
• Segmentation
• Object detection
• Kadir–Brady saliency detector
• Boosting methods for object categorization
• Computer vision
• Image processing
• California Institute of Technology

Stacked Generalization Learning to Analyze Teenage Distress

Source URL: affect.media.mit.edu

• Statistical classification
• Ensemble learning
• Evaluation methods
• Research methods
• Support vector machine
• Qualitative research
• Feature selection
• Gradient boosting
• Statistics
• Machine learning
• Science

CS156b Project1 Letter Recognition — AdaBoost & More layers Ling Li

Source URL: www.work.caltech.edu

• Ensemble learning
• AdaBoost
• Boosting

ICML 2009 Tutorial Survey of Boosting from an Optimization Perspective Part I: Entropy Regularized LPBoost Part II: Boosting from an Optimization Perspective

Source URL: www.stat.purdue.edu

• Boosting
• Ensemble learning

R eadyf or w ork Your Manager will simply select the options: Boosting motivation and self esteem, this five-day Break Thru designed program will equip your jobseekers with the skills and knowledge required to

Source URL: training.breakthru.org.au