Sepp Hochreiter - PDFSEARCH.IO - Document Search Engine

Sepp Hochreiter
Results: 82

#	Item
51	Nonlinear Feature Selection with the Potential Support Vector Machine Sepp Hochreiter and Klaus Obermayer Technische Universit¨ at Berlin Fakult¨ Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:44:45 Support vector machines Statistical classification Feature selection Sequential minimal optimization Sepp Hochreiter Vector space Duality Least squares support vector machine Ranking SVM
52	Rectified Factor Networks Supplement Djork-Arn´e Clevert, Andreas Mayr, Thomas Unterthiner and Sepp Hochreiter Institute of Bioinformatics, Johannes Kepler University, Linz, Austria {okko,mayr,unterthiner,hochreit}@bioi Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2015-12-02 09:40:10 Linear algebra Functional analysis Projection Mathematical optimization Expectationmaximization algorithm Gradient descent Matrix
53	Abstract/Presentation 1 von 1 http://abstracts.ashg.org/cgi-bin/2013/showdetail.pl?absno= Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-10-18 04:47:16 Molecular biology Gene expression RNA RNA-Seq Bioinformatics Transcription Sepp Hochreiter
54	Recurrent Neural Net Learning and Vanishing Gradient International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 6(2):107{116, 1998 Sepp Hochreiter Institut fur Informatik Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:14:24 Artificial neural networks Recurrent neural network Long short-term memory Vanishing gradient problem Sepp Hochreiter Backpropagation through time Backpropagation Artificial intelligence Artificial neuron Time delay neural network Deep learning Types of artificial neural networks
55	SIMPLIFYING NEURAL NETS BY DISCOVERING FLAT MINIMA Sepp Hochreiter Jurgen Schmidhubery Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2011-08-11 02:59:44 Artificial neural networks Computational neuroscience Computational statistics Mathematical psychology Backpropagation Generalization error
56	Sparse Factor Analysis for Detecting Copy Number Variations (CNVs) Andreas Mitterecker, Djork-Arne Clevert, Andreas Mayr, An De Bondt, Willem Talloen, Marianne Tuefferd, Hinrich Göhlmann, Sepp Hochreiter Recently, CN.FA Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2009-06-19 04:35:30 Computational biology Biological databases Sepp Hochreiter Affymetrix Factor analysis International HapMap Project Pierre-Simon Laplace Factor
57	Language Understanding for Text-based Games using Deep Reinforcement Learning Karthik Narasimhan∗ CSAIL, MIT Add to Reading List Source URL: www.emnlp2015.org Language: English - Date: 2015-09-04 01:25:56 Artificial neural networks Computational neuroscience Cybernetics Belief revision Reinforcement learning Recurrent neural network Q-learning Long short-term memory DQN Markov decision process Sepp Hochreiter Artificial intelligence
58	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Context-Sensitive and Role-Dependent Spoken Language Understanding using Bidirectional and Attention LSTMs Hori, C.; Hori, T.; Watanabe, S.; Hershey, J.R. Add to Reading List Source URL: www.merl.com Language: English - Date: 2016-08-01 10:10:56 Artificial neural networks Computational neuroscience Deep learning Recurrent neural network Long short-term memory Speech recognition Artificial intelligence Dialog manager Softmax function Word2vec Sepp Hochreiter
59	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Driver Confusion Status Detection Using Recurrent Neural Networks Hori, C.; Watanabe, S.; Hori, T.; Harsham, B.A.; Hershey, J.R.; Koji, Y.; Fujii, Y.; Furumot Add to Reading List Source URL: www.merl.com Language: English - Date: 2016-08-02 13:09:10 Artificial neural networks Computational neuroscience Recurrent neural network Long short-term memory Sepp Hochreiter Artificial intelligence Statistical classification Convolutional neural network Multimodal interaction Deep learning
60	GUESSING CAN OUTPERFORM MANY LONG TIME LAG ALGORITHMS Technical Note IDSIAJurgen Schmidhuber IDSIA Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:10:32 Artificial neural networks Computational neuroscience Computational statistics Artificial intelligence Mathematical psychology Recurrent neural network Sepp Hochreiter Long short-term memory Algorithm Backpropagation

UPDATE