An  Ensemble  for  Query  Intent  Detec4on   rd CIKM  CUP  2014,  3  Place   Elmar  Haussmann   University  of  Freiburg,  Germany   Chair  of  Algorithm  and

Source URL: ad-publications.informatik.uni-freiburg.de

• Machine learning
• Artificial neural networks
• Word2vec
• Google Search
• Web query classification

Robust contour extraction and junction detection by a neural model utilizing recurrent long-range interactions Thorsten Hansen1, 2 & Heiko Neumann2 1 Abteilung Allgemeine Psychologie, Justus-Liebig-Universität Gießen

Source URL: www.allpsych.uni-giessen.de

• Computational neuroscience
• Brain
• Computational statistics
• Cognition
• Neural networks
• Artificial neural network
• Visual cortex
• Visual system
• Biological neural network
• Illusory contours

A Model of Zero-Shot Learning of Spoken Language Understanding Majid Yazdani Computer Science Department University of Geneva

Source URL: majid.yazdani.me

• Statistical classification
• Machine learning
• Artificial neural networks
• Support vector machine
• Word embedding
• Feature learning
• Multi-label classification
• Word2vec
• Margin classifier
• Language model

AUTOMATIC MAP FEATURE EXTRACTION USING ARTIFICIAL NEURAL NETWORKS Itthi Trisirisatayawong and Mark R. Shortis Department of Geomatics University of Melbourne Parkville VIC 3052 AUSTRALIA

Source URL: mapcontext.com

• Machine learning
• Artificial neural networks
• Computational neuroscience
• Computational statistics
• Mathematical psychology
• Pattern recognition
• Backpropagation
• Statistical classification
• Image segmentation
• Supervised learning
• Deep learning
• Book:Machine Learning The Complete Guide

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

A Study of the Recurrent Neural Network Encoder-Decoder for Large Vocabulary Speech Recognition Liang Lu1 , Xingxing Zhang2 , Kyunghyun Cho3 , and Steve Renals1 1 2

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

• Artificial neural networks
• Computational neuroscience
• Computational linguistics
• Computational statistics
• Artificial intelligence
• Recurrent neural network
• Speech recognition
• Language model
• Long short-term memory
• Neural machine translation
• Feedforward neural network
• Convolutional neural network

Variability in neural activity and behavior

Source URL: www.machenslab.org

• Neuroscience
• Computational neuroscience
• Neural networks
• Neural coding
• Cognition
• Neural oscillation
• Neural correlates of consciousness
• Artificial neural network
• Neural ensemble
• Biological neural network
• Nervous system
• H1 neuron

A Hierarchical Neural Autoencoder for Paragraphs and Documents Jiwei Li, Minh-Thang Luong and Dan Jurafsky Computer Science Department, Stanford University, Stanford, CA 94305, USA jiweil, lmthang,

Source URL: web.stanford.edu

• Computational linguistics
• Natural language processing
• Artificial neural networks
• Computational neuroscience
• Speech recognition
• Deep learning
• Long short-term memory
• Automatic summarization
• Sepp Hochreiter
• Parsing
• Feature learning
• N-gram

in Proceedings of the 1999 International Joint Conference on Neural Network (pp. 305i–305vi) 305i When local isn’t enough: Extracting distributed rules from networks David A. Medler

Source URL: www.bcp.psych.ualberta.ca

arXiv:1603.04351v1 [cs.CL] 14 Mar 2016

Source URL: arxiv.org

• Artificial neural networks
• Artificial intelligence
• Compiler construction
• Parsing
• Deep learning
• Word embedding
• Recurrent neural network
• Formal languages
• LL parser
• LR parser