A Grid Based Analysis Approach for Learning From Sparse Data

Ray R. Hashemi

A Grid Based Analysis Approach for Learning From Sparse Data

Computer Science

Research output: Contribution to conference › Presentation

Abstract

This presentation was given at the 1st ACIS International Conference on Software Engineering Research & Applications (SERA ’03).

Original language	American English
State	Published - Jun 1 2003
Event	1st ACIS International Conference on Software Engineering Research & Applications (SERA ’03) - Duration: Jun 1 2003 → …

Conference

Conference	1st ACIS International Conference on Software Engineering Research & Applications (SERA ’03)
Period	06/1/03 → …

Keywords

Grid based analysis approach
Learning
Sparse data

Cite this

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title = "A Grid Based Analysis Approach for Learning From Sparse Data",

abstract = " This presentation was given at the 1st ACIS International Conference on Software Engineering Research \& Applications (SERA {\textquoteright}03).",

keywords = "Grid based analysis approach, Learning, Sparse data",

author = "Hashemi, \{Ray R.\}",

year = "2003",

month = jun,

day = "1",

language = "American English",

note = "1st ACIS International Conference on Software Engineering Research \& Applications (SERA {\textquoteright}03) ; Conference date: 01-06-2003",

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T1 - A Grid Based Analysis Approach for Learning From Sparse Data

AU - Hashemi, Ray R.

PY - 2003/6/1

Y1 - 2003/6/1

N2 - This presentation was given at the 1st ACIS International Conference on Software Engineering Research & Applications (SERA ’03).

AB - This presentation was given at the 1st ACIS International Conference on Software Engineering Research & Applications (SERA ’03).

KW - Grid based analysis approach

KW - Learning

KW - Sparse data

UR - https://digitalcommons.georgiasouthern.edu/compsci-facpres/60

M3 - Presentation

T2 - 1st ACIS International Conference on Software Engineering Research & Applications (SERA ’03)

Y2 - 1 June 2003

ER -

A Grid Based Analysis Approach for Learning From Sparse Data

Abstract

Conference

Keywords

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