An Analysis of Single-Layer Networks in Unsupervised Feature Learning Adam Coates Stanford University Computer Science Dept.

Source URL: ai.stanford.edu

• K-means clustering
• Cluster analysis
• Pattern recognition
• Supervised learning
• Linear classifier
• Expectation–maximization algorithm
• Object recognition
• Mixture model
• Algorithm
• Statistics
• Machine learning
• Unsupervised learning

Using Active Learning and Semantic Clustering for Noise Reduction in Distant Supervision Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder Ghent University - iMinds Ghent - Belgium

Source URL: www.akbc.ws

• Supervised learning
• Semantic similarity
• Dimension reduction
• Support vector machine
• Statistical classification
• Book:Machine Learning - The Complete Guide
• Word-sense disambiguation
• Statistics
• Machine learning
• Data mining

Weakly supervised named entity classification Edouard Grave EECS Department UC Berkeley

Source URL: www.akbc.ws

• Statistical classification
• Learning
• Natural language processing
• Semi-supervised learning
• Supervised learning
• Information extraction
• Support vector machine
• Linear classifier
• Entity-relationship model
• Machine learning
• Statistics
• Artificial intelligence

Hybrid Generative-Discriminative Visual Categorization. Alex D. Holub1 , Max Welling2 , Pietro Perona1 1 2

Source URL: www.ics.uci.edu

• Fisher kernel
• Generative model
• Discriminative model
• Supervised learning
• Constellation model
• Support vector machine
• Kernel methods
• Generative
• Naive Bayes classifier
• Statistics
• Machine learning
• Statistical classification

Under review as a conference paper at ICLRT RAINING DEEP NEURAL NETWORKS ON NOISY LABELS WITH BOOTSTRAPPING Scott E. Reed & Honglak Lee Dept. of Electrical Engineering and Computer Science, University of Michigan

Source URL: www-personal.umich.edu

• Statistical inference
• Ensemble learning
• Resampling
• Bootstrapping
• Semi-supervised learning
• Supervised learning
• Bootstrap aggregating
• Cross-validation
• Neural network
• Statistics
• Machine learning
• Computational statistics

Christian Igel Machine Learning: Kernel-based Methods Lecture Notes Version 0.3.0

Source URL: image.diku.dk

• Learning
• Supervised learning
• Support vector machine
• Linear classifier
• Pattern recognition
• Statistical classification
• Regularization
• Training set
• Artificial neural network
• Machine learning
• Statistics
• Artificial intelligence

2014 22nd International Conference on Pattern Recognition Behavioural biometrics using electricity load profiles M. Bicego, F. Recchia, A. Farinelli S. D. Ramchurn

Source URL: profs.sci.univr.it

• Bioinformatics
• Machine learning
• Biometrics
• Human–computer interaction
• K-nearest neighbor algorithm
• Speech recognition
• Hidden Markov model
• Supervised learning
• Electrical grid
• Artificial intelligence
• Security
• Search algorithms

Didacticiel - Études de cas R.R. 1 Topic Description of the CVM (Core Vector Machine) and BVM (Ball Vector Machine) methods from the

Source URL: eric.univ-lyon2.fr

• Support vector machine
• Artificial intelligence
• Supervised learning
• Learning
• Statistics
• Machine learning
• Statistical classification

Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP Andrei Alexandrescu Dept. of Computer Science and Engineering University of Washington Seattle, WA, 98195

Source URL: erdani.com

Stochastic k-Neighborhood Selection Supplementary Materials for “Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning”

Source URL: www.cs.toronto.edu