Journal of Machine Learning Research–217 Submitted 8/03; Published 2/04 Generalization Error Bounds for Threshold Decision Lists Martin Anthony

Source URL: www.maths.lse.ac.uk

• Artificial neural networks
• Decision trees
• Generalization error
• Perceptron
• Decision tree model
• Artificial neuron
• Statistical classification
• VC dimension

Activity Recognition Using Wrist-Worn Sensors for Human Performance Evaluation Minh Nguyen Liyue Fan

Source URL: infolab.usc.edu

• Statistical classification
• Artificial neural networks
• Internet of Things
• Machine learning
• Support vector machine
• Accelerometer
• Activity recognition
• Perceptron
• K-nearest neighbors algorithm
• Probabilistic classification
• Multilayer perceptron
• Naive Bayes classifier

Informatics 1 CG – Tutorial 2 Week 3 The goal of this tutorial is to deepen your understanding of perceptrons in general as well as the backpropagation algorithm used for training multilayer perceptrons. You should mak

Source URL: www.inf.ed.ac.uk

• Artificial neural networks
• Multilayer perceptron
• Perceptron
• Artificial neuron

Data-driven Coreference Resolution for Swedish Fredrik Axelsson∗ , Birger Rydback∗ , Fredrik Johansson∗ , Jonatan Bengtsson† , Svetoslav Marinov† ∗ Chalmers University of Technology, † Findwise AB Gothenbur

Source URL: www2.lingfil.uu.se

• Computational linguistics
• Natural language processing
• Named-entity recognition
• Coreference
• Perceptron

REVIEW doi:nature14539 Deep learning Yann LeCun1,2, Yoshua Bengio3 & Geoffrey Hinton4,5

Source URL: www.cs.toronto.edu

• Artificial neural networks
• Deep learning
• Convolutional neural network
• Recurrent neural network
• Backpropagation
• Autoencoder
• Feature learning
• Recursive neural network
• Long short-term memory
• Perceptron
• Feedforward neural network
• Artificial intelligence

Adaptive Subgradient Methods Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ John Duchi

Source URL: stanford.edu

• Convex optimization
• Mathematical optimization
• Stochastic optimization
• Machine learning
• Gradient descent
• Subgradient method
• Stochastic gradient descent
• Proximal gradient methods for learning
• Perceptron
• BroydenFletcherGoldfarbShanno algorithm
• Online machine learning
• Loss functions for classification

CS369N: Beyond Worst-Case Analysis Lecture #7: Smoothed Analysis∗ Tim Roughgarden† November 30,

Source URL: theory.stanford.edu

• Operations research
• Computational complexity theory
• Linear programming
• Mathematical optimization
• Artificial neural networks
• Perceptron
• Simplex algorithm
• Smoothed analysis
• Algorithm
• Simplex
• Time complexity
• Polynomial

PAC Learning and Artificial Neural Networks Martin Anthony and Norman Biggs Department of Mathematics, London School of Economics and Political Science (University of London), Houghton St., London WC2A 2AE, United Kingdo

Source URL: www.maths.lse.ac.uk

• Computational learning theory
• Artificial neural networks
• Machine learning
• Computational statistics
• Learning
• VC dimension
• Sample complexity
• Probably approximately correct learning
• Backpropagation
• Perceptron
• Vladimir Vapnik
• Radial basis function network

Theano Tutorial Theano is a software package which allows you to write symbolic code and compile it onto different architectures (in particular, CPU and GPU). It was developed by machine learning researchers at the Univ

Source URL: colinraffel.com

• Artificial neural networks
• Sigmoid function
• Artificial neuron
• Parameter
• Function
• Gradient descent
• Backpropagation
• Multilayer perceptron
• Activation function
• Theano
• Default argument
• Artificial intelligence

DAta Mining & Exploration Program Fast Multi Layer Perceptron with Genetic Algorithm User Manual

Source URL: dame.dsf.unina.it