'Model quality' presentation slideshows

Overview

857 views • 85 slides

A Practical Overview of Structural Equation Modeling for Business Research

A Practical Overview of Structural Equation Modeling for Business Research. Key Sources. Lecture notes from: Todd Boyle, Winston Jackson, Norine Verberg (StFX) Gordon Stringer (UCCS) Lydia Miljan, (University of Windsor) Johnny Amora (De la Salle-College of Saint Benilde)

979 views • 84 slides

Get Another Label? Improving Data Quality and Machine Learning Using Multiple, Noisy Labelers

Get Another Label? Improving Data Quality and Machine Learning Using Multiple, Noisy Labelers. Foster Provost New York University. Joint work with Panos Ipeirotis, Victor Sheng, and Jing Wang. Get Another Label? Improving Data Quality and Machine Learning Using Multiple, Noisy Labelers.

924 views • 71 slides

A Generic Method for Evaluating Appearance Models and Assessing the Accuracy of NRR

Roy Schestowitz, Carole Twining, Tim Cootes, Vlad Petrovic, Chris Taylor and Bill Crum. A Generic Method for Evaluating Appearance Models and Assessing the Accuracy of NRR. Overview. Motivation Assessment methods overlap-based model-based Experiments validation comparison of methods

485 views • 38 slides

Get Another Label? Improving Data Quality and Data Mining Using Multiple, Noisy Labelers

Get Another Label? Improving Data Quality and Data Mining Using Multiple, Noisy Labelers. Panos Ipeirotis Stern School of Business New York University. Joint work with Victor Sheng, Foster Provost, and Jing Wang. Motivation. Many task rely on high-quality labels for objects:

372 views • 37 slides

Managing Complexity with Multi-scale Travel Forecasting Models

Managing Complexity with Multi-scale Travel Forecasting Models. Jeremy Raw Office of Planning Federal Highway Administration. May 11, 2011. Roadmap. Why Multiple Scales? Processes and Models Building Multi-Scale Models. Why Multiple Scales?. Computational speed Data resolution

446 views • 34 slides

Get Another Label? Improving Data Quality and Data Mining Using Multiple, Noisy Labelers

New York University Stern School. Get Another Label? Improving Data Quality and Data Mining Using Multiple, Noisy Labelers. Victor Sheng Foster Provost Panos Ipeirotis. Outsourcing KDD preprocessing.

439 views • 32 slides

From Silos to Systems: Performance Management in Public Health Turning Point Performance Management Collaborative Oct

From Silos to Systems: Performance Management in Public Health Turning Point Performance Management Collaborative October 2002. Learning Objectives. Gain understanding of the components of a performance management system Identify at least three benefits of performance management .

913 views • 31 slides

VDC Certification Program BIM+ Group

431 views • 18 slides

319 views • 16 slides

Swedish experiences of applying the Quality Objectives for NO2 and PM10 modelling

Swedish experiences of applying the Quality Objectives for NO2 and PM10 modelling. introduction model evaluation for Swedish - street/road stations - urban background stations discussion and conclusions. b y L. Gidhagen, G. Omstedt and S. Andersson. Indicators for model quality.

286 views • 16 slides

FPGA Routing Channel Width Estimation Based on Knowledge Based Neural Network Model

FPGA Routing Channel Width Estimation Based on Knowledge Based Neural Network Model. ?????? ?????. Contents. 1 ? FPGA architecture 2 ? Model construction approach 3 ? Model quality and application 4 ? Future work. Island-Style FPGA Architecture. Detailed Routing Architecture.

340 views • 16 slides

Ligand-binding site prediction based on 3D protein modeling

Ligand-binding site prediction based on 3D protein modeling. ? 3 ? ???????? Aug. 24. 2009. Mina Oh, Keehyoung Joo and Jooyoung Lee Korea Institute for Advanced Study. Ligand-binding site prediction. The detection of ligand-binding sites is the starting point

359 views • 16 slides

Ligand-binding site prediction based on 3D protein modeling

Ligand-binding site prediction based on 3D protein modeling. ? 3 ? ???????? Aug. 24. 2009. Mina Oh, Keehyoung Joo and Jooyoung Lee Korea Institute for Advanced Study. Ligand-binding site prediction. The detection of ligand-binding sites is the starting point

306 views • 16 slides

Selective Properties of the GMDH Criteria for Inductive Modeling Volodymyr Stepashko

162 views • 16 slides

257 views • 13 slides

EFnet: an added value of multi-model simulation

EFnet: an added value of multi-model simulation. Mikhail Sofiev Finnish Meteorological Institute. Content. Introduction: why the ensemble modelling Examples of single- and multi-model ensembles EFnet: ensemble forecasting and model development Conclusions. Ensemble modelling: why?.

230 views • 12 slides