'Pruning' diaporamas de présentation

LEARNING FROM NOISY DATA

ACAI 05 ADVANCED COURSE ON KNOWLEDGE DISCOVERY. LEARNING FROM NOISY DATA. Ivan Bratko University of Ljubljana Slovenia. Acknowledgement: Thanks to Blaz Zupan for his contribution to these slides. Overview. Learning from noisy data Idea of tree pruning How to prune optimally

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Horticulture CD

Horticulture CD. Unit C 4-3: Nursery, Landscaping, and Gardening. Problem Area 4: Landscape Maintenance. Lesson 3: Pruning Landscape Plants. Have You Ever Seen a Tree Branch That is Split From Becoming Too Long, or a Shrub That Has Grown out Into a Walkway?. Learning Objectives.

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Pruning

Pruning. Terms. pruning - removal of parts of the top or root systems of plants fruit spur - stubby, fruit bearing twig. Terms. translocation - movement of water and soluble minerals from one part of the plant to another. Terms. inhibit - prohibit or slow action

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Pruning

Pruning. Original by Linda Rist Modified by Georgia Agricultural Education Curriculum Office July, 2002. Terms. pruning - removal of parts of the top or root systems of plants fruit spur - stubby, fruit bearing twig. Terms.

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Landscape

Landscape. Tool Identification By Tony Torretta. 1 Aerifier. 2 Lopper. 3 Anvil and Blade Pruner. 4 Bow Saw. 5 Bulb Planter. 6 Chain Saw. 7 Dust Mask. 8 String Trimmer. 9 Rotary Motor. 10 Pruning Saw. 11 Power Blower. 12 Watering Can. 13 Reel Mower. 14 Thatching Rake.

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How the brain learns!

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Decision Tree Learning

Decision Tree Learning. Learning Decision Trees (Mitchell 1997, Russell & Norvig 2003)

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Cost-Optimal Planning with Constraints and Preferences in Large State Spaces

Cost-Optimal Planning with Constraints and Preferences in Large State Spaces. Stefan Edelkamp, Shahid Jabbar, Mohammed Nazih University of Dortmund. PDDL3. Outcome IPC-6. Optimal Planning STRIPS: SATPLAN, MAXPLAN SIMPLE TIME: CPT PDDL3: MIPS-XXL Suboptimal Planning

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UV-diagram: a Voronoi Diagram for uncertain data

26th IEEE International Conference on Data Engineering. UV-diagram: a Voronoi Diagram for uncertain data. Reynold Cheng (University of Hong Kong) Xike Xie (University of Hong Kong) Man Lung Yiu (Hong Kong Polytechnic University) Jinchuan Chen (Renmin University of China)

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Best Management Practices in Utility Arboriculture

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How Does Your Garden Grow

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Basics of Decision Trees

Basics of Decision Trees . A flow-chart-like hierarchical tree structure Often restricted to a binary structure Root : represents the entire dataset A node without children is called a leaf node . Otherwise is called an internal node . Internal nodes: denote a test on an attribute

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C4.5 - pruning decision trees

C4.5 - pruning decision trees. Quiz 1. Q: Is a tree with only pure leafs always the best classifier you can have? A: No. This tree is the best classifier on the training set, but possibly not on new and unseen data. Because of overfitting , the tree may not generalize very well. Pruning.

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A Speaker Pruning Algorithm for Real-Time Speaker Identification

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Strengthening our Community Tree Canopy Through Education Module #1:

Strengthening our Community Tree Canopy Through Education Module #1: Tree Growth and Biology in an Urban Environment Laura Sanagorski, Environmental Horticulture Extension Faculty. Strengthening Our Community Tree Canopy 2012 Urban Forestry Series

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A Study on Detection Based Automatic Speech Recognition

A Study on Detection Based Automatic Speech Recognition. Author : Chengyuan Ma Yu Tsao Professor: ??? Reporter : ???. Outline. Introduction Word detector design Hypotheses combination Experiment. Introduction.

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Pruning

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Network simplification

1D/1D dual-drainage simulation. Network simplification. DEMs and Urban Flood Modelling. Dual-drainage concept (1D/1D and 1D/2D) Sewer system (manholes and pipes) Overland system (depressions and flow paths). Overland system. 1D overland flow modelling

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Tree Pruning

Visit our site http://pruningsaw.net for more information on Tree Pruning When doing this sort of Tree Trimming, you don't wish to just reduce branches; you intend to preserve the proportion and form of the tree while boosting its healthy. Like most things in attributes, a tree features most effectively when it's balanced and balanced.

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