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Sepp Hochreiter
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#	Item
41	cn.FARMS - a probabilistic model to detect DNA copy numbers 1, 4 2 3 Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2008-08-28 08:00:36 Genetics Molecular biology Genomics Computational biology Sepp Hochreiter Copy-number variation Copy number analysis
42	Language Understanding for Text-based Games using Deep Reinforcement Learning Karthik Narasimhan∗ CSAIL, MIT Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-09-14 21:25:04 Artificial neural networks Computational neuroscience Cybernetics Q-learning Recurrent neural network Reinforcement learning Long short-term memory DQN Markov decision process Sepp Hochreiter Artificial intelligence Quest
43	International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems cfWorld Scientic Publishing Company THE VANISHING GRADIENT PROBLEM DURING LEARNING RECURRENT NEURAL NETS AND PROBLEM SOLUTIONS Sepp Hochreiter Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:19:09 Artificial neural networks Recurrent neural network Long short-term memory Vanishing gradient problem Sepp Hochreiter Backpropagation through time Backpropagation Artificial intelligence Deep learning Speech recognition
44	Report from Dagstuhl SeminarComputational Methods Aiding Early-Stage Drug Design Edited by Andreas Bender1 , Hinrich Göhlmann2 , Sepp Hochreiter3 , and Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-10-11 03:39:42 Computational biology Sepp Hochreiter Microarrays Molecular biology Gene expression Bioinformatics Deep learning Gene expression profiling RNA-Seq Drug design
45	LOCOCODE versus PCA and ICA Sepp Hochreiter Technische Universitat MunchenMunchen, Germany Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:18:32 Multivariate statistics Artificial neural networks Signal processing Dimension reduction Computational neuroscience Principal component analysis Independent component analysis Sepp Hochreiter Autoencoder Backpropagation
46	NONLINEAR ICA THROUGH LOW-COMPLEXITY AUTOENCODERS Sepp Hochreiter J¨urgen Schmidhuber Fakult¨at f¨ur Informatik Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:21:57 Multivariate statistics Artificial neural networks Signal processing Dimension reduction Computational neuroscience Independent component analysis Factorial code Principal component analysis Machine learning Self-organizing map Sepp Hochreiter Deep learning
47	LONG SHORT-TERM MEMORY Neural Computation 9(8):1735{1780, 1997 Sepp Hochreiter Fakultat fur Informatik Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:16:28 Artificial neural networks Computational neuroscience Digital electronics Digital systems Electronic engineering Long short-term memory Sepp Hochreiter Backpropagation through time Backpropagation Flip-flop Memory cell Artificial intelligence
48	Grammar as a Foreign Language arXiv:1412.7449v3 [cs.CL] 9 Jun 2015 Oriol Vinyals∗ Google Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-06-10 21:04:27 Computational linguistics Artificial neural networks Computational neuroscience Artificial intelligence Formal sciences Long short-term memory Deep learning Parsing Speech recognition Recurrent neural network Sepp Hochreiter Natural language processing
49	Feature extraction through LOCOCODE Neural Computation 11(3):679{714, 1999 Sepp Hochreiter Jurgen Schmidhuber Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:20:42 Artificial neural networks Multivariate statistics Signal processing Computational neuroscience Computational statistics Factorial code Sepp Hochreiter Autoencoder Backpropagation Principal component analysis Independent component analysis
50	Rectified Factor Networks Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2015-12-03 06:11:45 Computational statistics Machine learning Computational biology Sepp Hochreiter Artificial neural networks Computational neuroscience Deep learning Autoencoder Principal component analysis Normal distribution Stochastic gradient descent Support vector machine