'Singular vectors' presentation slideshows

Adjoint Models as Analytical Tools

Adjoint Models as Analytical Tools. Dr. Ronald M. Errico Goddard Earth Sciences and Technology Center (UMBC) Global Modeling and Assimilation Office (NASA). Outline. 1. Sensitivity analysis: The basis for adjoint model applications 2. Examples of adjoint-derived sensitivity

1k views • 79 slides

The density matrix renormalization group

The density matrix renormalization group. Adrian Feiguin. Some literature.

1.68k views • 75 slides

Observation Targeting

744 views • 59 slides

Link Analysis Ranking

727 views • 51 slides

Link Analysis Ranking

663 views • 51 slides

Introduction to ensemble forecasting

649 views • 51 slides

Incorporating User Provided Constraints into Document Clustering

Incorporating User Provided Constraints into Document Clustering. Yanhua Chen, Manjeet Rege, Ming Dong, Jing Hua, Farshad Fotouhi Department of Computer Science Wayne State University Detroit, MI48202 {chenyanh, rege, mdong, jinghua, fotouhi}@wayne.edu. Outline. Introduction

657 views • 44 slides

Microarray Normalization

Microarray Normalization. Issues in High-Throughput Data Analysis BIOS 691-803 Spring 2010 Dr Mark Reimers. Normalization of Expression Arrays. Historical approaches 1995-2005 Current standard approaches Q.75 for Agilent Quantile for Affymetrix and Nimblegen VSN for Illumina

730 views • 43 slides

Sampling algorithms and core-sets for L p regression and applications

Sampling algorithms and core-sets for L p regression and applications. Michael W. Mahoney Yahoo Research ( For more info, see: http://www.cs.yale.edu/homes/mmahoney ). Models, curve fitting, and data analysis.

559 views • 43 slides

Dimensionality reduction

Dimensionality reduction. Outline. From distances to points : MultiDimensional Scaling (MDS ) FastMap Dimensionality Reductions or data projections Random projections Principal Component Analysis (PCA ). Multi-Dimensional Scaling (MDS).

578 views • 38 slides

NUMERICAL WEATHER PREDICTION Atmospheric predictability: Ensembles

NUMERICAL WEATHER PREDICTION Atmospheric predictability: Ensembles. Dr Meral Demirta ? Turkish State Meteorological Service Weather Forecasting Department. WMO, Training Course, 26-30 September 2011 Alanya, Turkey. Outline. Introduction How predictable is the atmosphere?

708 views • 31 slides

CS 430 / INFO 430 Information Retrieval

CS 430 / INFO 430 Information Retrieval. Lecture 9 Latent Semantic Indexing. Course Administration. Latent Semantic Indexing. Objective Replace indexes that use sets of index terms by indexes that use concepts . Approach

386 views • 28 slides

Nested Modeling Studies on the Northeast U.S. Continental Shelves

Nested Modeling Studies on the Northeast U.S. Continental Shelves. Dale B. Haidvogel. John Wilkin, Katja Fennel, Hernan Arango, Paul Goodman Institute of Marine and Coastal Sciences Rutgers University. With support from NSF, ONR, NASA, NOPP, USGS. Outline.

415 views • 24 slides

Singular Value Decomposition(SVD)

Singular Value Decomposition(SVD). Bo & Shi. Definition of SVD. Formally, the singular value decomposition of an m*n real or complex matrix M is a factorization of the form

1.79k views • 24 slides

3 rd THORPEX DAOS Working Group meeting

386 views • 23 slides

Sub-seasonal prediction at ECMWF

480 views • 21 slides

Optimal perturbations and observations for decadal climate predictions Ed Hawkins, Rowan Sutton

275 views • 19 slides

Le Duc National Center for Hydro-Meteorological Forecast

285 views • 18 slides

Yahoo! Music Recommendations

Yahoo! Music Recommendations. Modeling Music Ratings with Temporal Dynamics and Item Taxonomy. Yahoo! Research. Outline. Features of Yahoo! Music Dataset Basic Latent Factor Model Improved modelling with Taxonomy Temporal Dynamics Experiments and Result.

395 views • 15 slides

Singular Value Decomposition in Digital Signal Processing

Singular Value Decomposition in Digital Signal Processing. By Tin Sheen. Signals. Flow of information Measured quantity that varies with time (or position) Electrical signal received from a transducer (microphone, thermometer, accelerometer, antenna, etc.)

983 views • 13 slides