'Relevant attributes' diaporamas de présentation

Nearest neighbor (NN), kNN and Bayes classifier

913 views • 79 slides

Chapter 12 Geometric Shapes

Chapter 12 Geometric Shapes. Section 12.1 Recognizing Shapes. The van Hiele Theory Level 0 (Recognition) At this lowest level, a child recognizes certain shapes holistically without paying attention to their components Level 1 (Analysis)

1.3k views • 71 slides

Data Mining Practical Machine Learning Tools and Techniques

Data Mining Practical Machine Learning Tools and Techniques Slides for Chapter 8, Data transformations of Data Mining by I. H. Witten, E. Frank, M. A. Hall, and C. J. Pal. Data transformations. Attribute selection: Scheme- independent and scheme -specific

802 views • 69 slides

Job Services and Data Services Giuseppe La Rocca INFN Catania

565 views • 46 slides

10/27

10/27. Exam post-mortem Phased-relaxation approach Order generalization (Partialization) Temporal Networks. Phased Relaxation in SAPA. Adjusting the Heuristic Values.

466 views • 31 slides

Job Description Language (JDL)

370 views • 31 slides

Data preparation: Selection, Preprocessing, and Transformation

Data preparation: Selection, Preprocessing, and Transformation. Literature: I.H. Witten and E. Frank, Data Mining, chapter 2 and chapter 7. Knowledge. Transformed data. Patterns. Target data. Processed data. Interpretation Evaluation. Data Mining. Transformation & feature

563 views • 25 slides

Data preparation: Selection, Preprocessing, and Transformation

Data preparation: Selection, Preprocessing, and Transformation. Literature: I.H. Witten and E. Frank, Data Mining, chapter 2 and chapter 7. Knowledge. Transformed data. Patterns. Target data. Processed data. Interpretation Evaluation. Data Mining. Transformation & feature

434 views • 25 slides

An Introduction to Data Mining Hosein Rostani Alireza Zohdi

292 views • 20 slides

MARKET NEEDS / ATTRACTIVENESS

MARKET NEEDS / ATTRACTIVENESS. Strategic Investment Defining the Target Segment(s) Crafting the Value Proposition Creating the Mix to Deliver the Value Proposition Communicating the Value Proposition. COMPETITORS STRENGTHS / WEAKNESSES. ORGANISATIONAL STRENGTHS / WEAKNESSES.

291 views • 17 slides

CS 4700: Foundations of Artificial Intelligence

CS 4700: Foundations of Artificial Intelligence. Carla P. Gomes gomes@cs.cornell.edu Module: Nearest Neighbor Models (Reading: Chapter 20.4). 1-Nearest Neighbor. One of the simplest of all machine learning classifiers Simple idea: label a new point the same as the closest known point.

194 views • 9 slides

Structure Refinement in First Order Conditional Influence Language

t1.id. r1.id. t1.cd. t1.la. T2.id. r2.id. t2.la. s1.la. s1.f. t2.cd. s2.la. r1.id. t1.id. t2.id. s1.f. s2.f. s2.f. r2.id. t1.id. r1.id. t2.id. r2.id. C. W. W. B. I. C. C. B. I. C. <. l. d. b. 2. 1. t. e. a. r. n. e. e. s. s1.folder. s2.folder. d.f.

116 views • 1 slides