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Deep surface and strategic approaches to learning Deep surface and strategic approaches to learning Contributor Jackie Lublin Centre for Teaching and Learning Good Practice in Teaching and Learning

Deep surface and strategic approaches to learning Deep surface and strategic approaches to learning Contributor Jackie Lublin Centre for Teaching and Learning Good Practice in Teaching and Learning

  • pamella-moone
  • 11 Slides

It is quite likely that the way you answer this h...

Angular Kinematics Learning Objectives Define angular kinematics Understand compute absolute relative angles angular displacements velocities accelerations Estimate instantaneous angular velocity

Angular Kinematics Learning Objectives Define angular kinematics Understand compute absolute relative angles angular displacements velocities accelerations Estimate instantaneous angular velocity

  • sherrill-nordquist
  • 9 Slides

Be able to identify phases of movement infer sou...

On the importance of initialization and momentum in deep learning Ilya Sutskever ilyasugoogle

On the importance of initialization and momentum in deep learning Ilya Sutskever ilyasugoogle

  • faustina-dinatale
  • 9 Slides

com James Martens jmartenscstorontoedu George Dahl...

Reinforcement Learning Neural Networks and PI Control Applied to a Heating Coil Charles W

Reinforcement Learning Neural Networks and PI Control Applied to a Heating Coil Charles W

  • conchita-marotz
  • 8 Slides

Anderson Douglas C Hittle Alon D Katz and R Ma...

Synthesis of Reinforcement Learning Neural Networks and PI Control Applied to a Simulated Heating Coil Charles W

Synthesis of Reinforcement Learning Neural Networks and PI Control Applied to a Simulated Heating Coil Charles W

  • karlyn-bohler
  • 15 Slides

Anderson Douglas C Hittle Alon D Katz and R Ma...

A Direct Adaptive Method for Faster Backpropagation Learning The RPROP Algorithm Martin Riedmiller Heinrich Braun Institut fur Logik Komplexitat und Deduktionssyteme University of Karlsruhe W Karlsru

A Direct Adaptive Method for Faster Backpropagation Learning The RPROP Algorithm Martin Riedmiller Heinrich Braun Institut fur Logik Komplexitat und Deduktionssyteme University of Karlsruhe W Karlsru

  • luanne-stotts
  • 6 Slides

ukade Abstract A new learning algorithm for multi ...

An Analysis of Banyan Networks Offered Traffic With Geometrically Distributed Message Lengths IPyen Lyaw and David M

An Analysis of Banyan Networks Offered Traffic With Geometrically Distributed Message Lengths IPyen Lyaw and David M

  • natalia-silvester
  • 20 Slides

Koppelman Louisiana State University Baton Rouge ...

Distributed Dynamic Control of CircuitSwitched Banyan Networks C

Distributed Dynamic Control of CircuitSwitched Banyan Networks C

  • calandra-battersby
  • 6 Slides

SalisburyandRMelhem Department of Computer Science...

Examples of networked decision systems include UAV formations distributed emergency response systems interconnected transportation energy systems and even social networks

Examples of networked decision systems include UAV formations distributed emergency response systems interconnected transportation energy systems and even social networks

  • karlyn-bohler
  • 10 Slides

Munther A Dahleh and Michael Rinehart Decision an...

Parallel BreadthFirst Search on Distributed Memory Systems Aydn Bulu Kamesh Madduri Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA ABuluc KMaddurilbl

Parallel BreadthFirst Search on Distributed Memory Systems Aydn Bulu Kamesh Madduri Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA ABuluc KMaddurilbl

  • tatiana-dople
  • 12 Slides

gov ABSTRACT Dataintensive graphbased computations...

Scalable Distributed arallel BreadthFirst Searc Algorithm on BlueGeneL Andy Edmond Cho Keith Henderson William McLendon Bruce Hendric kson Umit ataly urek La wrence Liv ermore National Lab oratory Li

Scalable Distributed arallel BreadthFirst Searc Algorithm on BlueGeneL Andy Edmond Cho Keith Henderson William McLendon Bruce Hendric kson Umit ataly urek La wrence Liv ermore National Lab oratory Li

  • faustina-dinatale
  • 19 Slides

E Sha Researc and Dev elopmen t New ork NY 10036 ...

Distributed Memory BreadthFirst Search Revisited Enabling BottomUp Search Scott Beamer EECS Department University of California Berkeley California Aydn Buluc Computational Research Division Lawrence

Distributed Memory BreadthFirst Search Revisited Enabling BottomUp Search Scott Beamer EECS Department University of California Berkeley California Aydn Buluc Computational Research Division Lawrence

  • tatiana-dople
  • 10 Slides

In the worst case the complexity of BFS is linear...

Filter Forests for Learning DataDependent Convolutional Kernels Sean Ryan Fanello Cem Keskin Pushmeet Kohli Shahram Izadi Jamie Shotton Antonio Criminisi Ugo Pattacini Tim Paek Microsoft Research iC

Filter Forests for Learning DataDependent Convolutional Kernels Sean Ryan Fanello Cem Keskin Pushmeet Kohli Shahram Izadi Jamie Shotton Antonio Criminisi Ugo Pattacini Tim Paek Microsoft Research iC

  • liane-varnes
  • 8 Slides

FF can be used for general signal restoration tas...

Learning a CategoryIndependent Object Detection Cascade Esa Rahtu Juho Kannala Machine Vision Group University of Oulu Finland Matthew Blaschko Visual Geometry Group University of Oxford UK Abstract

Learning a CategoryIndependent Object Detection Cascade Esa Rahtu Juho Kannala Machine Vision Group University of Oulu Finland Matthew Blaschko Visual Geometry Group University of Oxford UK Abstract

  • briana-ranney
  • 8 Slides

Here we focus on the 64257rst layers of a categor...

MultipleInstance Pruning For Learning Efcient Cascade Detectors Cha Zhang and Paul Viola Microsoft Research One Microsoft Way Redmond WA chazhangviola microsoft

MultipleInstance Pruning For Learning Efcient Cascade Detectors Cha Zhang and Paul Viola Microsoft Research One Microsoft Way Redmond WA chazhangviola microsoft

  • liane-varnes
  • 8 Slides

com Abstract Cascade detectors have been shown to ...

Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning Adam Coates Blake Carpenter Carl Case Sanjeev Satheesh Bipin Suresh Tao Wang David J

Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning Adam Coates Blake Carpenter Carl Case Sanjeev Satheesh Bipin Suresh Tao Wang David J

  • karlyn-bohler
  • 6 Slides

Wu Andrew Y Ng Computer Science Department Stanfo...

Journal of Machine Learning Research Submitted Published SupportVectorClustering Asa BenHur asabarnhilltechnologies

Journal of Machine Learning Research Submitted Published SupportVectorClustering Asa BenHur asabarnhilltechnologies

  • tawny-fly
  • 13 Slides

com BIOwulf Technologies 2030 Addison st suite 102...

Distributed Checkpointing Analysis and Benchmarks Gustavo M

Distributed Checkpointing Analysis and Benchmarks Gustavo M

  • mitsue-stanley
  • 16 Slides

D Vieira Luiz E Buzato Instituto de Computac aoU...

CHAPTER GENERATIVE AND DISCRIMINATIVE CLASSIFIERS NAIVE BAYES AND LOGISTIC REGRESSION Machine Learning Copyright

CHAPTER GENERATIVE AND DISCRIMINATIVE CLASSIFIERS NAIVE BAYES AND LOGISTIC REGRESSION Machine Learning Copyright

  • faustina-dinatale
  • 17 Slides

Tom M Mitchell All rights reserved DRAFT OF Janua...

PN Learning Bootstrapping Binary Classiers by Structural Constraints Zdenek Kalal University of Surrey Guildford UK z

PN Learning Bootstrapping Binary Classiers by Structural Constraints Zdenek Kalal University of Surrey Guildford UK z

  • tatiana-dople
  • 8 Slides

kalalsurreyacuk Jiri Matas Czech Technical Univers...

pGqGGkGGGhG UGYSGuUGYSGqGYWWG Network Issues in Clock Synchron ization on Distributed Database Heritage Institute of Technology Kolkata India IBM India Pvt

pGqGGkGGGhG UGYSGuUGYSGqGYWWG Network Issues in Clock Synchron ization on Distributed Database Heritage Institute of Technology Kolkata India IBM India Pvt

  • min-jolicoeur
  • 20 Slides

Ltd Kolkata India send2shouvikgmailcom Hannam Uni...

CoarsetoFine Inference and Learning for FirstOrder Probabilistic Models Chlo e Kiddon and Pedro Domingos Department of Computer Science Engineering University of Washington Seattle WA chloepedrod c

CoarsetoFine Inference and Learning for FirstOrder Probabilistic Models Chlo e Kiddon and Pedro Domingos Department of Computer Science Engineering University of Washington Seattle WA chloepedrod c

  • min-jolicoeur
  • 8 Slides

washingtonedu Abstract Coarseto64257ne approaches ...

Distributed Control Applications Within Sensor Networks BRUNO SINOPOLI STUDENT MEMBER IEEE COURTNEY SHARP LUCA SCHENATO STUDENT MEMBER IEEE SHAWN SCHAFFERT STUDENT MEMBER IEEE AND S

Distributed Control Applications Within Sensor Networks BRUNO SINOPOLI STUDENT MEMBER IEEE COURTNEY SHARP LUCA SCHENATO STUDENT MEMBER IEEE SHAWN SCHAFFERT STUDENT MEMBER IEEE AND S

  • mitsue-stanley
  • 12 Slides

SHANKAR SASTRY FELLOW IEEE Invited Paper Sensor ...

Using feedback to help students to learn Phil Race Summary Feedback is vital in just about all learning contexts

Using feedback to help students to learn Phil Race Summary Feedback is vital in just about all learning contexts

  • alexa-scheidler
  • 11 Slides

These p ages look at the central role that feedba...

Learning Stochastic Feedforward Neural Networks Yichuan Tang Department of Computer Science University of Toronto Toronto Ontario Canada

Learning Stochastic Feedforward Neural Networks Yichuan Tang Department of Computer Science University of Toronto Toronto Ontario Canada

  • luanne-stotts
  • 9 Slides

tangcstorontoedu Ruslan Salakhutdinov Department ...

ON THE COMPLETE CONTROLLABILITY OF A DISTRIBUTED PARAMETER NONLINEAR CONTROL SYSTEM WITH PARTIALLY COEFFICIENTS A

ON THE COMPLETE CONTROLLABILITY OF A DISTRIBUTED PARAMETER NONLINEAR CONTROL SYSTEM WITH PARTIALLY COEFFICIENTS A

  • calandra-battersby
  • 10 Slides

CARUSO Abstract We study a control problem in a sp...

Learning realistic human actions from movies Ivan Laptev Marcin Marszaek Cordelia Schmid Benjamin Rozenfeld INRIA Rennes IRISA INRIA Grenoble LEAR LJK BarIlan University ivan

Learning realistic human actions from movies Ivan Laptev Marcin Marszaek Cordelia Schmid Benjamin Rozenfeld INRIA Rennes IRISA INRIA Grenoble LEAR LJK BarIlan University ivan

  • ellena-manuel
  • 8 Slides

laptevinriafr marcinmarszalekinriafr cordeliaschmi...

Scalable Consistency in Scatter Lisa Glendenning Ivan Beschastnikh Arvind Krishnamurthy Thomas Anderson Department of Computer Science Engineering University of Washington ABSTRACT Distributed stora

Scalable Consistency in Scatter Lisa Glendenning Ivan Beschastnikh Arvind Krishnamurthy Thomas Anderson Department of Computer Science Engineering University of Washington ABSTRACT Distributed stora

  • marina-yarberry
  • 14 Slides

This paper describes the de sign implementation a...

Distributed Computation for Co op erativ Con trol Eric Kla vins Ric hard M

Distributed Computation for Co op erativ Con trol Eric Kla vins Ric hard M

  • trish-goza
  • 13 Slides

Murra Ele ctric al Engine ering Contr ol and Dyna...

Distributed Cooperative Control System Algorithms Simulations and Enhancements Po Wu and Panos J

Distributed Cooperative Control System Algorithms Simulations and Enhancements Po Wu and Panos J

  • celsa-spraggs
  • 22 Slides

Antsaklis Department of Electrical Engineering Un...

Trading Computation for Communication Distributed Stochastic Dual Coordinate Ascent Tianbao Yang NEC Labs America Cupertino CA tyangneclabs

Trading Computation for Communication Distributed Stochastic Dual Coordinate Ascent Tianbao Yang NEC Labs America Cupertino CA tyangneclabs

  • pamella-moone
  • 9 Slides

com Abstract We present and study a distributed op...

Nonlinear Learning using Local Coordinate Coding Kai Yu NEC Laboratories America kyusv

Nonlinear Learning using Local Coordinate Coding Kai Yu NEC Laboratories America kyusv

  • test
  • 9 Slides

neclabscom Tong Zhang Rutgers University tzhangsta...

Journal of Machine Learning Research Submi tted Revised Published ErrorCorrecting Ouput Codes Library Sergio Escalera SERGIO MAIA UB ES Oriol Pujol ORIOL MAIA UB ES Petia Radeva PETIA IVANOVA U

Journal of Machine Learning Research Submi tted Revised Published ErrorCorrecting Ouput Codes Library Sergio Escalera SERGIO MAIA UB ES Oriol Pujol ORIOL MAIA UB ES Petia Radeva PETIA IVANOVA U

  • pamella-moone
  • 4 Slides

The ECOC framework is a powerful tool to deal wit...

Coupled SemiSupervised Learning for Information Extraction Andrew Carlson Schoool of Computer Science Carnegie Mellon University Pittsburgh PA acarlsoncs

Coupled SemiSupervised Learning for Information Extraction Andrew Carlson Schoool of Computer Science Carnegie Mellon University Pittsburgh PA acarlsoncs

  • celsa-spraggs
  • 10 Slides

cmuedu Justin Betteridge Schoool of Computer Scien...

SemiCoupled Dictionary Learning with Applications to Image SuperResolution and PhotoSketch Synthesis Shenlong Wang Lei Zhang Yan Liang Quan Pan Northwestern Polytechnical University The Hong Kong Pol

SemiCoupled Dictionary Learning with Applications to Image SuperResolution and PhotoSketch Synthesis Shenlong Wang Lei Zhang Yan Liang Quan Pan Northwestern Polytechnical University The Hong Kong Pol

  • myesha-ticknor
  • 8 Slides

wanggmailcom cslzhangcomppolyueduhk liangyannwpued...

Coupled Dictionary and Feature Space Learning with Applications to CrossDomain Image Synthesis and Recognition DeAn Huang and YuChiang Frank Wang Research Center for Information Technology Innovation

Coupled Dictionary and Feature Space Learning with Applications to CrossDomain Image Synthesis and Recognition DeAn Huang and YuChiang Frank Wang Research Center for Information Technology Innovation

  • giovanna-bartolotta
  • 8 Slides

com ycwangcitisinicaedutw Abstract Crossdomain ima...

Distributed LQR Design for Identical Dynamically Decoupled Systems Francesco Borrelli Tamas Keviczky Abstract We consider a set of identical decoupled dynamical systems and a control problem where

Distributed LQR Design for Identical Dynamically Decoupled Systems Francesco Borrelli Tamas Keviczky Abstract We consider a set of identical decoupled dynamical systems and a control problem where

  • pamella-moone
  • 12 Slides

The coupling is describ ed through a communicatio...

Geometric Methods Introduction In studying the rst or der ODE the main emphasis is on learning dif fer ent ways of nding explicit solutions

Geometric Methods Introduction In studying the rst or der ODE the main emphasis is on learning dif fer ent ways of nding explicit solutions

  • mitsue-stanley
  • 2 Slides

However you should ealize that most 64257rst or ...

STANDARDS FOR FOREIGN LANGUAGE LEARNING Preparing for the st Century COMMUNITIES CONNECTIONS COMMUNICATION COMPARISONS CULTURES In a coalition of four national language organi zations the American

STANDARDS FOR FOREIGN LANGUAGE LEARNING Preparing for the st Century COMMUNITIES CONNECTIONS COMMUNICATION COMPARISONS CULTURES In a coalition of four national language organi zations the American

  • conchita-marotz
  • 8 Slides

This was the seventh and final subject area to re...

Learning Standards for New York State Health Physical Education and Family and Consumer Sciences Standard Personal Health and Fitness Students will have the necessary knowledge and skills to establ

Learning Standards for New York State Health Physical Education and Family and Consumer Sciences Standard Personal Health and Fitness Students will have the necessary knowledge and skills to establ

  • faustina-dinatale
  • 3 Slides

Standard 2 A Safe and Healthy Environment Studen...

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