DreamTeam/Reading/Markov

From Noisebridge
Revision as of 05:47, 12 November 2015 by Danf (talk | contribs) (more or less random links)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search

http://image.diku.dk/igel/paper/aitrbm-proof.pdf -- "An Introduction to Restricted Boltzmann Machines"

http://cogprints.org/2905/1/automatedunderstandingoffinancialstatements2.pdf -- "Automated Understanding of Financial Statements Using Neural Networks and Semantic Grammars"

http://www.cs.toronto.edu/%7eradford/ftp/thesis.pdf -- "BAYESIAN LEARNING FOR NEURAL NETWORKS"

http://www.auai.org/uai2012/papers/237.pdf -- "Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior"

http://www.research.ibm.com/software/ibmresearch/multimedia/ijcnn2013.algorithms-applications.pdf -- "Cognitive Computing Systems: Algorithms and Applications for Networks of Neurosynaptic Cores"

http://jmlr.org/proceedings/papers/v5/salakhutdinov09a/salakhutdinov09a.pdf -- "Deep Boltzmann Machines"

http://cnsl.kaist.ac.kr/ni-inns/V01N02/NI_V1I2_W2012_23.pdf -- "Evolving, Probabilistic Spiking Neural Networks and Neurogenetic Systems for Spatio- and Spectro-Temporal Data Modelling and Pattern Recognition"

http://www.matthewzeiler.com/pubs/nips2011/nips2011.pdf -- "Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines"

http://arxiv.org/pdf/1411.5018v1.pdf -- "Frequentism and Bayesianism: A Python-driven Primer"

http://arxiv.org/pdf/1406.2661v1.pdf -- "Generative Adversarial Nets"

http://arxiv.org/pdf/1503.07793v2.pdf -- "Gibbs Sampling with Low-Power Spiking Digital Neurons"

http://arxiv.org/pdf/1503.05571v2.pdf -- "GSNs: Generative Stochastic Networks"

https://www.cs.toronto.edu/~vmnih/docs/gen_images.pdf -- "How to generate realistic images using gated MRF's"

http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37631.pdf -- "Improving the speed of neural networks on CPUs"

http://arxiv.org/pdf/1302.6951v1.pdf -- "Large deviations, dynamics and phase transitions in large stochastic heterogeneous neural networks"

http://ijcai.org/papers09/papers/ijcai09-195.pdf -- "Large Margin Boltzmann Machines"

http://arxiv.org/pdf/1408.3821v2.pdf -- "Limits on Fundamental Limits to Computation"

http://deeplearning.cs.cmu.edu/pdfs/Hochreiter97_lstm.pdf -- "LONG SHORT-TERM MEMORY"

http://arxiv.org/pdf/1509.07302v2.pdf -- "Mapping Generative Models onto a Network of Digital Spiking Neurons"

http://papers.nips.cc/paper/4351-on-tracking-the-partition-function.pdf -- "On Tracking The Partition Function"

http://people.idsia.ch/~juergen/ki2009.pdf -- "Ontogenetic and Phylogenetic Reinforcement Learning"

http://jmlr.csail.mit.edu/proceedings/papers/v9/desjardins10a/desjardins10a.pdf -- "Parallel Tempering for Training of Restricted Boltzmann Machines"

http://arxiv.org/pdf/1410.5362.pdf -- "Prediction of Synchrostate Transitions in EEG Signals Using Markov Chain Models"

http://www.lu.lv/fileadmin/user_upload/lu_portal/projekti/datorzinatnes_pielietojumi/publikacijas/Ambainis_7_3.pdf -- "QUANTUM FINITE AUTOMATA"

http://people.idsia.ch/~juergen/agi2011linus.pdf -- "Sequential Constant Size Compressors for Reinforcement Learning"

http://www.ms.unimelb.edu.au/~enting/dtalk/t_aums2.pdf -- "Statistical mechanics of stochastic and deterministic cellular automata"

http://users.cs.cf.ac.uk/Antonia.J.Jones/Theses/UItturraranThesis.pdf -- "The Synchronous Boltzmann Machine for learning and hard-combinatoric search"