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RANK ESTIMATORS FOR MONOTONIC INDEX MODELS By Christopher Cavanagh and Robert P

RANK ESTIMATORS FOR MONOTONIC INDEX MODELS By Christopher Cavanagh and Robert P

  • min-jolicoeur
  • 26 Slides

Sherman Department of Economics Columbia Universi...

Aggregation Capacity of Wireless Sensor Networks Extended Network Case Cheng Wang Changjun Jiang Yunhao Liu XiangYang Li Shaojie Tang Huadong Ma Department of Computer Science Tongji University

Aggregation Capacity of Wireless Sensor Networks Extended Network Case Cheng Wang Changjun Jiang Yunhao Liu XiangYang Li Shaojie Tang Huadong Ma Department of Computer Science Tongji University

  • min-jolicoeur
  • 9 Slides

While one is often only interested in collecting ...

Factorization Machines Steffen Rendle Department of Reasoning for Intelligence The Institute of Scientic and Industrial Research Osaka University Japan rendlear

Factorization Machines Steffen Rendle Department of Reasoning for Intelligence The Institute of Scientic and Industrial Research Osaka University Japan rendlear

  • stefany-barnette
  • 6 Slides

sankenosakauacjp Abstract In this paper we introdu...

Modelling large scale fermentation processes Anders Nrregaard Krist Gernaey Stuart Stocks Brian Madsen Center for Process Engineering and Technology Department of Chemical and Biochemical Engineerin

Modelling large scale fermentation processes Anders Nrregaard Krist Gernaey Stuart Stocks Brian Madsen Center for Process Engineering and Technology Department of Chemical and Biochemical Engineerin

  • pamella-moone
  • 1 Slides

Stirrer engine Agitation is one of the primary us...

Remote Sensing Data Policy RSDP Recognising that Remote Sensing data provides much essential a nd critical information which is an input for developmental a ctivities at different levels and is al

Remote Sensing Data Policy RSDP Recognising that Remote Sensing data provides much essential a nd critical information which is an input for developmental a ctivities at different levels and is al

  • myesha-ticknor
  • 3 Slides

Department of Space DOS of the Government of Indi...

Sparse Filtering Jiquan Ngiam Pang Wei Koh Zhenghao Chen Sonia Bhaskar Andrew Y

Sparse Filtering Jiquan Ngiam Pang Wei Koh Zhenghao Chen Sonia Bhaskar Andrew Y

  • trish-goza
  • 9 Slides

Ng Computer Science Department Stanford Universit...

An AutomataTheoretic Approach to Linear Temporal Logic Moshe Y

An AutomataTheoretic Approach to Linear Temporal Logic Moshe Y

  • giovanna-bartolotta
  • 29 Slides

Vardi Rice University Department of Computer Scie...

HOUSING ELEMENT COMPLIANCE REPORT Please note To verify compliance status for the purposes of determining eligibility of funding please contact the Div ision directly at or The Department makes

HOUSING ELEMENT COMPLIANCE REPORT Please note To verify compliance status for the purposes of determining eligibility of funding please contact the Div ision directly at or The Department makes

  • tawny-fly
  • 12 Slides

For any questions or clarifications please conta...

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  • cheryl-pisano
  • 6 Slides

S Department of Health and Human Services NATIONAL...

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  • faustina-dinatale
  • 6 Slides

S Department of Health and Human Services NATIONAL...

Rapid Prototyping with Fo urth Generation Systems an Empirical Study By Kaj Grnbk Department of Computer Science University of Aarhus Denmark Email kgronbakdaimi

Rapid Prototyping with Fo urth Generation Systems an Empirical Study By Kaj Grnbk Department of Computer Science University of Aarhus Denmark Email kgronbakdaimi

  • conchita-marotz
  • 20 Slides

audk Abstract The focus of this paper is on design...

Robust RealTime Visual Tracking using PixelWise Posteriors Charles Bibby and Ian Reid Active Vision Lab Department of Engineering Science University of Oxford cbibbyrobots

Robust RealTime Visual Tracking using PixelWise Posteriors Charles Bibby and Ian Reid Active Vision Lab Department of Engineering Science University of Oxford cbibbyrobots

  • karlyn-bohler
  • 14 Slides

oxacukianrobotsoxacuk Abstract We derive a probabi...

Learning Optimal Subsets with Implicit User Preferences Yunsong Guo and Carla Gomes Department of Computer Science Cornell University guoys gomes cs

Learning Optimal Subsets with Implicit User Preferences Yunsong Guo and Carla Gomes Department of Computer Science Cornell University guoys gomes cs

  • lois-ondreau
  • 6 Slides

cornelledu Abstract We study the problem of learni...

ON SELFROUTING IN CLOS CONNECTION NETWORKS BARRY G

ON SELFROUTING IN CLOS CONNECTION NETWORKS BARRY G

  • karlyn-bohler
  • 15 Slides

DOUGLASS Electrical Engineering Department Texas ...

OPTIMAL QUANTIZERS FOR DISTRIBUTED BAYESIAN ESTIMATION Aditya Vempaty Biao Chen Pramod K

OPTIMAL QUANTIZERS FOR DISTRIBUTED BAYESIAN ESTIMATION Aditya Vempaty Biao Chen Pramod K

  • faustina-dinatale
  • 5 Slides

Varshney Department of EECS Syracuse University N...

StateSpace Inference and Learning with Gaussian Processes Ryan Turner Marc Peter Deisenroth Carl Edward Rasmussen Department of Engineering University of Cambridge Trumpington Street Cambridge CB PZ

StateSpace Inference and Learning with Gaussian Processes Ryan Turner Marc Peter Deisenroth Carl Edward Rasmussen Department of Engineering University of Cambridge Trumpington Street Cambridge CB PZ

  • tawny-fly
  • 8 Slides

We propose a new general metho dology for inferen...

Florida Department of Education Office of Student Financial Assistance First Generation Matching Grant Program Fact Sheet Florida Statutes

Florida Department of Education Office of Student Financial Assistance First Generation Matching Grant Program Fact Sheet Florida Statutes

  • lindy-dunigan
  • 3 Slides

701 Program Description Applying for an Award x x ...

Evolutionary Computation from Genetic Algorithms to Genetic Programming Ajith Abraham Nadia Nedjah and Luiza de Macedo Mourelle School of Computer Science and Engineering ChungAng University nd Eng

Evolutionary Computation from Genetic Algorithms to Genetic Programming Ajith Abraham Nadia Nedjah and Luiza de Macedo Mourelle School of Computer Science and Engineering ChungAng University nd Eng

  • kittie-lecroy
  • 20 Slides

abrahamieeeorg httpwwwajithsoftcomputingnet Depart...

A GraphTheoretic Model for Time Paul C

A GraphTheoretic Model for Time Paul C

  • ellena-manuel
  • 6 Slides

Kainen Department of Mathematics Georgetown Univ...

PSUTH hepph Gyromagnetic Ratios of Bound Particles Michael I

PSUTH hepph Gyromagnetic Ratios of Bound Particles Michael I

  • mitsue-stanley
  • 10 Slides

Eides Department of Physics Pennsylvania State Un...

Gyrophone Recognizing Speech From Gyroscope Signals Yan Michalevsky Dan Boneh Computer Science Department Stanford University Gabi Nakibly National Research Simulation Center Rafael Ltd

Gyrophone Recognizing Speech From Gyroscope Signals Yan Michalevsky Dan Boneh Computer Science Department Stanford University Gabi Nakibly National Research Simulation Center Rafael Ltd

  • liane-varnes
  • 15 Slides

Abstract We show that the MEMS gyroscopes found o...

Sungsu Park Department of Aerospace Engineering Sejong University Kwangjingu Gunjadong Seoul Korea email sungsusejong

Sungsu Park Department of Aerospace Engineering Sejong University Kwangjingu Gunjadong Seoul Korea email sungsusejong

  • liane-varnes
  • 11 Slides

ackr Roberto Horowitz Department of Mechanical Eng...

Semantic Hashing Ruslan Salakhutdinov Department of Computer Science University of Toronto Toronto Ontario MS G rsalakhucs

Semantic Hashing Ruslan Salakhutdinov Department of Computer Science University of Toronto Toronto Ontario MS G rsalakhucs

  • marina-yarberry
  • 8 Slides

torontoedu Geoffrey Hinton Department of Computer ...

Supervised Hashing with Kernels Wei Liu Jun Wang Rongrong Ji YuGang Jiang ShihFu Chang Electrical Engineering Department Columbia University New York NY USA IBM T

Supervised Hashing with Kernels Wei Liu Jun Wang Rongrong Ji YuGang Jiang ShihFu Chang Electrical Engineering Department Columbia University New York NY USA IBM T

  • celsa-spraggs
  • 8 Slides

J Watson Research Center Yorktown Heights NY USA ...

Sequential Projection Learning for Hashing with Compact Code Jun Wang jwangee

Sequential Projection Learning for Hashing with Compact Code Jun Wang jwangee

  • luanne-stotts
  • 8 Slides

columbiaedu Department of Electrical Engineering C...

Online Variational Inference for the Hierarchical Dirichlet Process Chong Wang John Paisley David M

Online Variational Inference for the Hierarchical Dirichlet Process Chong Wang John Paisley David M

  • giovanna-bartolotta
  • 9 Slides

Blei Computer Science Department Princeton Univer...

Hill Climbing in Recurrent Neural Networks for Learning the Language Stephan Chalup School of Computing Science FIT Queensland University of Technology Brisbane QLD Australia chalupt

Hill Climbing in Recurrent Neural Networks for Learning the Language Stephan Chalup School of Computing Science FIT Queensland University of Technology Brisbane QLD Australia chalupt

  • giovanna-bartolotta
  • 6 Slides

quteduau Alan D Blair Department of Computer Scien...

Hill Climbing Al gorithms for ContentBased Retrieval of Similar Configurations Dimitris Papadias Department of Computer Science Hong Kong University of Science and Technology Clear Water Bay Hong Kon

Hill Climbing Al gorithms for ContentBased Retrieval of Similar Configurations Dimitris Papadias Department of Computer Science Hong Kong University of Science and Technology Clear Water Bay Hong Kon

  • stefany-barnette
  • 8 Slides

csust hkd imitris BSTRACT The retrieval of stored ...

Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science

Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science

  • yoshiko-marsland
  • 15 Slides

245 MULTIVARIABLE CONTROL SYSTEMS by A Megretski A...

Source Department of Energy The energy to drive the hydrologic cycle is gained from the sun

Source Department of Energy The energy to drive the hydrologic cycle is gained from the sun

  • alexa-scheidler
  • 6 Slides

Thus hydropower is a renewable energy source and ...

Numerical Parameter Identifiability and Estimability Integrating Identifiability Estimability and Optimal Sampling Design JOHN A

Numerical Parameter Identifiability and Estimability Integrating Identifiability Estimability and Optimal Sampling Design JOHN A

  • lindy-dunigan
  • 27 Slides

JACQUEZ Department of Physiology The Unioersify o...

Structural vs Practical Identiability in System Biology Maria Pia Saccomani Department of Information Engineering University of Padova Via Gradenigoa Padova Italy mariapia

Structural vs Practical Identiability in System Biology Maria Pia Saccomani Department of Information Engineering University of Padova Via Gradenigoa Padova Italy mariapia

  • conchita-marotz
  • 9 Slides

saccomaniunipdit httpwwwdeiunipdit Abstract The re...

Increasing the Pace of Restoration and Job Creation on Our National Forests inkstock

Increasing the Pace of Restoration and Job Creation on Our National Forests inkstock

  • celsa-spraggs
  • 9 Slides

com United States Department of Agriculture Forest...

Image Smoothing via Gradient Minimization Li Xu Cewu Lu Yi Xu Jiaya Jia Department of Computer Science and Engineering The Chinese University of Hong Kong Figure smoothing accomplished by global sma

Image Smoothing via Gradient Minimization Li Xu Cewu Lu Yi Xu Jiaya Jia Department of Computer Science and Engineering The Chinese University of Hong Kong Figure smoothing accomplished by global sma

  • phoebe-click
  • 12 Slides

Our method suppresses low amplitude details Mean ...

ISSN Print Volume Issue Performance of Indirectly Controlled STATCOM with IEEE bus System Jagdish Kumar Department of Electrical Engineering PEC University of Technology Chandigarh India mail

ISSN Print Volume Issue Performance of Indirectly Controlled STATCOM with IEEE bus System Jagdish Kumar Department of Electrical Engineering PEC University of Technology Chandigarh India mail

  • calandra-battersby
  • 6 Slides

com Abstract STATCOM is one of the Flexible AC Tra...

MTech Industrial Automation Robotics The National Institute of Engineering Mysore Established in Department of Mechanical Engineering The National Institute of Engineering NIE Mysore was establis

MTech Industrial Automation Robotics The National Institute of Engineering Mysore Established in Department of Mechanical Engineering The National Institute of Engineering NIE Mysore was establis

  • celsa-spraggs
  • 16 Slides

Tech Industrial Automation Robotics The National ...

Alexey Tyrtov Head of International activities Department Open JointStock Company NavigatingInformation Systems Mishina street building Tel Fax Tel Fax Email tyrtovaani

Alexey Tyrtov Head of International activities Department Open JointStock Company NavigatingInformation Systems Mishina street building Tel Fax Tel Fax Email tyrtovaani

  • ellena-manuel
  • 10 Slides

com 10

iNav An Indoor Navigation Model Supporting LengthDependent Optimal Routing Wenjie Yuan and Markus Schneider Department of Computer Information Science Engineering University of Florida Gainesville

iNav An Indoor Navigation Model Supporting LengthDependent Optimal Routing Wenjie Yuan and Markus Schneider Department of Computer Information Science Engineering University of Florida Gainesville

  • pamella-moone
  • 15 Slides

ufledu Abstract People may have problems in findin...

APP LABORATORY REFERENCE RANGE VALUES ShowHong Duh PhD DABCC Department of Pathology University of Maryland School of Medicine Janine Denis Cook PhD Department of Medical and Research Technology Uni

APP LABORATORY REFERENCE RANGE VALUES ShowHong Duh PhD DABCC Department of Pathology University of Maryland School of Medicine Janine Denis Cook PhD Department of Medical and Research Technology Uni

  • liane-varnes
  • 17 Slides

Actual values may vary significantly due to diffe...

Chemistry ReferenceHelp Sheet Units Common Metric Prexes prex numerical meaning scientic notation symbol deci centi milli micro nano pico deka kilo mega giga Common Equal

Chemistry ReferenceHelp Sheet Units Common Metric Prexes prex numerical meaning scientic notation symbol deci centi milli micro nano pico deka kilo mega giga Common Equal

  • karlyn-bohler
  • 1 Slides

S 1 ft 12 in 1 yard 3 ft 1 mile 5280 ft 1 cup ...

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