Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons Dejan Pecevski*, Lars Buesing¤, Wolfgang Maass Institute for Theoretical Computer Science, Graz University o

Source URL: apophenia.wdfiles.com

Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons Dejan Pecevski*, Lars Buesing¤, Wolfgang Maass Institute for Theoretical Computer Science, Graz University o

Source URL: www.gatsby.ucl.ac.uk

Sampling-Based Spacecraft Motion Planning Ashley Clark, Lucas Janson, Joseph Starek, Edward Schmerling, and Marco Pavone (PI) Autonomous Systems Laboratory, Department of Aeronautics and Astronautics, Stanford University

Source URL: scpnt.stanford.edu

• Search algorithms
• Robot kinematics
• Mathematics
• Information science
• Information retrieval
• Motion planning
• Theoretical computer science
• Spacecraft
• Minimum spanning tree
• Docking and berthing of spacecraft
• Rapidly-exploring random tree
• Real-time Search

Sampling-based Data Mining Algorithms: Modern Techniques and Case Studies Matteo Riondato Brown University, Providence, RI 02912, USA Abstract. Sampling a dataset for faster analysis and looking at it

Source URL: matteo.rionda.to

• Mathematics
• Graph theory
• Network theory
• Theoretical computer science
• Computational learning theory
• Dimension
• Statistical classification
• VC dimension
• Centrality
• Sampling
• Statistics
• Mode

Algorithmica: 67–80 DOI: s00453Algorithmica ©

Source URL: cs-www.cs.yale.edu

• Computational complexity theory
• Theory of computation
• Algorithms
• Theoretical computer science
• Analysis of algorithms
• Probabilistic complexity theory
• Streaming algorithm
• Property testing
• Randomized algorithm
• Sequence
• NC
• Sampling

Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons Lars Buesing¤*, Johannes Bill, Bernhard Nessler, Wolfgang Maass Institute for Theoretical Computer Science, Graz U

Source URL: www.gatsby.ucl.ac.uk

• Neuroscience
• Computational neuroscience
• Nervous system
• Biology
• Artificial neural network
• Biological neuron model
• Spiking neural network
• Neural oscillation
• Gibbs sampling
• Action potential
• Neuron
• Stochastic process

22.6. Adaptively biased MD, steered MD, and umbrella sampling with REMDAnalyzing multi-dimensional replica exchange simulations The REMD log file for each dimension is further divided into the log messages for

Source URL: ambermd.org

• Computational chemistry
• Molecular dynamics
• Theoretical chemistry
• Local Elevation
• Metadynamics
• Xi
• Umbrella sampling
• Identical particles

Eur. Phys. J. Special Topics 224, 2409–) © EDP Sciences, Springer-Verlag 2015 DOI: epjst/e2015THE EUROPEAN PHYSICAL JOURNAL

Source URL: comp-phys.univie.ac.at

• Computational chemistry
• Monte Carlo methods
• Theoretical chemistry
• Molecular dynamics
• Stochastic simulation
• Transition path sampling
• Thermodynamic integration
• Reaction coordinate
• Dynamical system
• Importance sampling
• TPS
• Phase space

Recent Interactions between TCS and Quantum Physics Scott Aaronson September 2013 In 1994, when Peter Shor announced his famous algorithm for factoring integers in polynomial time using a quantum computer, it wasn’t ob

Source URL: thmatters.files.wordpress.com

• Quantum information science
• Quantum computing
• Quantum cryptography
• Quantum mechanics
• Emerging technologies
• Quantum algorithm
• Quantum information
• Quantum gravity
• Quantum complexity theory
• Theoretical computer science
• Boson sampling
• Quantum key distribution

Sampling the Repairs of Functional Dependency Violations under Hard Constraints George Beskales Ihab F. Ilyas

Source URL: cs.uwaterloo.ca

• Data modeling
• Theoretical computer science
• Functional dependency
• Equivalence relation
• Cardinality
• Algorithm
• Cardinal number