'Local model' presentation slideshows

Machine and Statistical Learning for Database Querying

Machine and Statistical Learning for Database Querying. Chao Wang Data Mining Research Lab Dept. of Computer Science & Engineering The Ohio State University Advisor: Prof. Srinivasan Parthasarathy Supported by: NSF Career Award IIS-0347662. Outline. Introduction Selectivity estimation

947 views • 83 slides

Normalization of microarray data

Normalization of microarray data. Anja von Heydebreck Dept. Computational Molecular Biology, MPI for Molecular Genetics, Berlin. Systematic differences between arrays. The boxplots show distributions of log-ratios from 4 red-green 8448-clone cDNA arrays hybridised with zebrafish samples.

869 views • 37 slides

All lecture slides will be available as , .ps, & .htm at cs.toronto/~hinton

CSC2515 Fall 2007 Introduction to Machine Learning Lecture 6: Decision Trees and Mixtures of Experts. All lecture slides will be available as .ppt, .ps, & .htm at www.cs.toronto.edu/~hinton Many of the figures are provided by Chris Bishop

555 views • 36 slides

Non-local Transport in Channel Networks Vaughan Voller Civil Engineering University of Minnesota

451 views • 35 slides

KMA

1 st GODEX-NWP (16 th ~ 19 nd May 2017) KMA Report : Satellite and data assimilation activities. Hyunjong Oh ( hyunjong.oh@korea.kr ) Chu-Yong Chung ( cychung0530@korea.kr ) Changhwan Kim ( bluedu@korea.kr ). KMA. I. NWP & Data Assimilation Activities of KMA. Contents.

463 views • 35 slides

Image Super-Resolution as Sparse Representation of Raw Image Patches

Image Super-Resolution as Sparse Representation of Raw Image Patches. Jianchao Yang, John Wright, Thomas Huang, Yi Ma CVPR 2008. Outline. Introduction Super-resolution from Sparsity Local Model from Sparse Representation Enforcing Global Reconstruction Constraint

945 views • 23 slides

Learning Scale-Invariant Contour Completion

Learning Scale-Invariant Contour Completion. Xiaofeng Ren, Charless Fowlkes and Jitendra Malik. Abstract.

358 views • 22 slides

Distributed Model-Based Learning

Distributed Model-Based Learning. PhD student: Zhang, Xiaofeng. I. Model-Based Learning. Methods used in Data Clustering dimension reduction 1. Linear methods: SVD, PCA, Kernel PCA etc. 2. Pairwise distance methods: Multidimensional scaling (MDS), etc.

328 views • 22 slides

Cameron Fletcher Andrew Higgins David Hilbert Peter Roebelling

Identification of dynamically resilient exploitation-strategies in complex landscape systems using spatially explicit dynamical models and multi-objective optimisation. Cameron Fletcher Andrew Higgins David Hilbert Peter Roebelling.

406 views • 21 slides

Planning for an Oregon School-Based Health Center

Planning for an Oregon School-Based Health Center. School-Based Health Center Program Adolescent Health Section Office of Family Health Oregon State Public Health Division, DHS. SBHCs provide accessible health care to youth. Access Model:

333 views • 19 slides

Uniondale, NY

Uniondale, NY. At least two UST releases MTBE mass release estimated 7,000 lb Upper Glacial; Magothy Threatened PWS deeper in Magothy IRM design In-situ follow-up?. Critical Prediction(s). Mass removal rate at Interim Remedial Measure wells (4) for sizing of Air Stripping Towers*

147 views • 14 slides

1. Introduction 2. Fuzzy inference systems and fuzzy modelling

344 views • 13 slides

Partial Dislocations

Partial Dislocations. Lauren Ayers 22.71 . Outline. Partial Dislocations Why Partials? Stacking Faults Lomer-Cottrel Lock Force on a Dislocation Line Tension Model Dislocation Density. Partial Dislocations. Single unit dislocation can break down into two Shockley partials. b1.

580 views • 12 slides

Stepwise introduction of regional NWP

Transfer of Regional NWP Capabilities to Developing Countries Detlev Majewski, Deutscher Wetterdienst, Germany e-mail: detlev.majewski@dwd.de. Stepwise introduction of regional NWP. Defined at the WMO Workshops in Pretoria (2002) and Casablanca (2005):

192 views • 9 slides

Network coordination and communication/fusion protocols based on team-theoretic principals

Network coordination and communication/fusion protocols based on team-theoretic principals. Final MURI Review Meeting Alan S. Willsky December 2, 2005. How can we take objectives of other nodes into account?. Rapprochement of two lines of inquiry Decentralized detection

72 views • 7 slides

Hydrology and Noise Affecting Land-Based Gravity Measurements

109 views • 2 slides

Intermediate states

Theory of probing orbitons in YTiO 3 with Resonant Inelastic X-ray Scattering. L.J.P. Ament 1 , J. van den Brink 1 , G. Khaliullin 2

158 views • 1 slides