'Hierarchical classification' presentation slideshows

Hierarchical classification - PowerPoint PPT Presentation

Phylogeny and Systematics

Phylogeny and Systematics

Phylogeny and Systematics. chapter 25. WARM UP: What evidence would you use to create a cladogram? STANDARDS: 8. Evolution is the result of genetic changes that occur in constantly changing environments. d. Students know reproductive or geographic isolation affects speciation.

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761 views • 57 slides
Online Learning by Projecting: From Theory to Large Scale Web-spam filtering

Online Learning by Projecting: From Theory to Large Scale Web-spam filtering

Online Learning by Projecting: From Theory to Large Scale Web-spam filtering. Yoram Singer. Based on joint work with:. Koby Crammer (Upenn), Ofer Dekel (Google/HUJI), Vineet Gupta (Google), Joseph Keshet (HUJI), Andrew Ng (Stanford), Shai Shalev-Shwartz (HUJI).

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648 views • 51 slides
Systematics

Systematics

Systematics. Systematics. Classifying organisms Hierarchical organization Alternative classifications systems Phylogenetic taxonomy Analogy vs. homology Phylogenetic approaches Evolutionary systematics Cladistics Determining degree of relationship by molecular similarity

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848 views • 43 slides
Classification

Classification

Classification.

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441 views • 38 slides
Efficient Process for Constructing a Hierarchical Classification System

Efficient Process for Constructing a Hierarchical Classification System

Efficient Process for Constructing a Hierarchical Classification System. Yong-wook Yoon Dec 22, 2003 NLP Lab., POSTECH. Contents. Introduction Related Work Measure for Hierarchical Classifier Hierarchical Classification Demo Experiment Contribution Future Work. Introduction.

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435 views • 34 slides
Understanding User Intents in Online Health Forums

Understanding User Intents in Online Health Forums

Understanding User Intents in Online Health Forums. Thomas Zhang, Jason H.D. Cho, Chengxiang Zhai Department of Computer Science University of Illinois at Urbana-Champaign 5 th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics Newport Beach, California

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541 views • 29 slides
Exploiting Ontologies for Automatic Image Annotation

Exploiting Ontologies for Automatic Image Annotation

M. Srikanth, J. Varner, M. Bowden, D. Moldovan Language Computer Corporation www.languagecomputer.com Richardson, Texas. Exploiting Ontologies for Automatic Image Annotation. Contents. Motivation Automatic Image Annotation Problem Ontologies for Defining Visual Vocabularies

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393 views • 25 slides
Hierarchical Classification: Comparison with Flat Method

Hierarchical Classification: Comparison with Flat Method

Hierarchical Classification: Comparison with Flat Method. Yongwook Yoon Jun 12, 2003 NLP Lab., POSTECH. Contents. Hierarchical vs. Flat Classifier System Overview Experiment & Results Comparison with Flat Methods Future Work. Hierarchical Classification.

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453 views • 25 slides
Questions?

Questions?

Questions?. Games and Learning. Jose Zagal Electronic Learning Communities Lab College of Computing & GVU Center Georgia Institute of Technology. Learning from games. Using games as the subject of learning. What does it mean to study and learn about games? What are the challenges?

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394 views • 23 slides
Cost-Sensitive Learning for Large-Scale Hierarchical Classification of Commercial Products

Cost-Sensitive Learning for Large-Scale Hierarchical Classification of Commercial Products

Cost-Sensitive Learning for Large-Scale Hierarchical Classification of Commercial Products. Jianfu Chen, David S. Warren Stony Brook University. Classification is a fundamental problem in information management. UNSPSC. Vehicles and their Accessories and Components (25).

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363 views • 22 slides
Cost-Sensitive Learning for Large-Scale Hierarchical Classification of Commercial Products

Cost-Sensitive Learning for Large-Scale Hierarchical Classification of Commercial Products

Cost-Sensitive Learning for Large-Scale Hierarchical Classification of Commercial Products. Jianfu Chen, David S. Warren Stony Brook University. Classification is a fundamental problem in information management. UNSPSC. Vehicles and their Accessories and Components (25).

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288 views • 22 slides
Generic Tasks

Generic Tasks

Generic Tasks. by Ihab M. Amer Graduate Student Computer Science Dept. AUC, Cairo, Egypt. Agenda. Introduction. Generic Tasks. Definition. Main Concept. Some GTs and their Specs. Generic Task Tools. GTs as Building Blocks. Conclusion. Introduction.

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300 views • 18 slides
Multidimensional classification of burst triggers from the fifth science run of LIGO

Multidimensional classification of burst triggers from the fifth science run of LIGO

Multidimensional classification of burst triggers from the fifth science run of LIGO. Soma Mukherjee CGWA, UTB GWDAW11, Potsdam, 12/18/06 LIGO-G060648-00-0. Why and What. kleine Welle (Blackburn, L. et. al. 2005 LIGO-050158-00-Z) is an algorithm that picks up

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259 views • 18 slides
Why classify organisms?

Why classify organisms?

Why classify organisms?. Biology A. Student Goals. Explain HOW and WHY organisms are classified into Kingdoms through species. Hierarchical Classification. Taxonomic categories Kingdom Phylum Class Order Family Genus Species. Hierarchical Classification.

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425 views • 18 slides
CORAL REEF MAPPING IN THE RED SEA (HURGHADA, EGYPT) BASED ON REMOTE SENSING

CORAL REEF MAPPING IN THE RED SEA (HURGHADA, EGYPT) BASED ON REMOTE SENSING

CORAL REEF MAPPING IN THE RED SEA (HURGHADA, EGYPT) BASED ON REMOTE SENSING. Presented by: Justin Prosper s0090444. Presentation outline. Introduction Reflectance model Atmospheric correction Ecological classification in general Study area Data collection

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473 views • 18 slides
Great Ideas in Riverine Ecology

Great Ideas in Riverine Ecology

Great Ideas in Riverine Ecology. Linear to Landscapes FISH 7380; Dr. E. Irwin. Systems created by water running downhill depend on:. Geology and climate (present and historical). 1) stream classification 2) longitudinal processes. 3) Riparian-river interactions. Land use.

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388 views • 17 slides
Remote Sensing classifications

Remote Sensing classifications

Pixel-oriented analysis. Object-oriented analysis. Remote Sensing classifications. Pixel-oriented limitations. Problems when dealing with rich information. Inappropriate scale of work. Inaccurate with elements of similar spectral behaviour (ex.: habitats). Salt and pepper effect.

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237 views • 11 slides
Nomenclature is the science of naming organisms

Nomenclature is the science of naming organisms

Hierarchical Classification vs. Systematics. Nomenclature is the science of naming organisms Evolution has created an enormous diversity, so how do we deal with it? Names allow us to talk about groups of organisms. - Scientific names were originally descriptive phrases; not practical

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200 views • 11 slides
Framework for Binding Access Control to COPS Provisioning

Framework for Binding Access Control to COPS Provisioning

Framework for Binding Access Control to COPS Provisioning. Ravi Sahita Leon Gommans Cees de Laat Freek Dijkstra Kwok Ho Chan. Walter Weiss John Vollbrecht Dave Spence Dave Rago Amol Kulkarni. draft-ietf-rap-access-bind-00.txt. Tunnel Encapsulation. MPLS Tunnel to Address Y. Scheduler.

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170 views • 8 slides
Diversity of Life: Introduction to Biological Classification

Diversity of Life: Introduction to Biological Classification

BioEd Online. Diversity of Life: Introduction to Biological Classification. BioEd Online. Why Do We Classify Organisms?. Biologists group organisms to represent similarities and proposed relationships.

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226 views • 8 slides

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