Self-Supervised Learning for Medical Web Disease Reporting Events Detection Avaré Stewart Wolfgang Nejdl

Source URL: www.websci11.org

Supervised Learning Based Model for Predicting Variability-Induced Timing Errors Xun Jiao‡ , Abbas Rahimi‡ , Balakrishnan Narayanaswamy‡ , Hamed Fatemi∗ , Jose Pineda de Gyvez∗ , and Rajesh K. Gupta‡ ‡ Depa

Source URL: cseweb.ucsd.edu

Semi-Supervised Learning for Word Sense Disambiguation: Quality vs. Quantity Sandra K¨ ubler Indiana University skuebler @indiana.edu

Source URL: cl.indiana.edu

IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 26, NO. 4, APRILAutomated Extraction of the Cortical Sulci Based on a Supervised Learning Approach

Source URL: pages.ucsd.edu

SUPERVISED PRACTICE OF MINISTRY Criteria for Receiving Credit Many people are involved in the learning and evaluative processes for each SPM student. The SPM supervisor, the lay committee, and the Director of Field Educa

Source URL: udts.dbq.edu

Archetypical Motion: Supervised Game Behavior Learning with Archetypal Analysis Rafet Sifa Christian Bauckhage

Source URL: eldar.mathstat.uoguelph.ca

LNCSAgreement-Based Semi-supervised Learning for Skull Stripping

Source URL: pages.ucsd.edu

Automatic adaptation of Proper Noun Dictionaries through cooperation of machine learning and probabilistic methods Georgios Petasis, Alessandro Cucchiarelli(*),Paola Velardi(§), Georgios Paliouras, Vangelis Karkaletsis,

Source URL: wwwusers.di.uniroma1.it

• Linguistics
• Computational linguistics
• Machine learning
• Artificial intelligence
• Cognition
• Natural language processing
• Semantics
• Statistical classification
• Word-sense disambiguation
• Parsing
• Supervised learning
• Probabilistic classification

Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains Abstract We investigate the use of Semi-Supervised Learning (SSL) in opinion detection both in

Source URL: cl.indiana.edu

• Machine learning
• Artificial intelligence
• Learning
• Statistical classification
• Cognition
• Natural language processing
• Semi-supervised learning
• Co-training
• Supervised learning
• Domain adaptation
• Sentiment analysis
• Support vector machine

PDF Document

Source URL: www.work.caltech.edu

• Machine learning
• Learning
• Artificial intelligence
• Cognition
• Perceptron
• Supervised learning
• Expected value
• Probability distribution
• Online machine learning
• Error Tolerance