PDF-Discretization of Con tin uous A ttributes for Learning Classi cation Rules Aijun An and PDF document

e presen t a comparison of three en trop ybased discretiza tion metho ds in a con text of learning classi cation rules W e compare the binary recursiv e discretization

Upload by test
Published on 2015-01-18

Presentation Embed Code

<iframe width="560" height="315" src="https://www.docslides.com/embed/33038" frameborder="0" allowfullscreen></iframe>

Download Presentation

Download Presentation The PPT/PDF document "Discretization of Con tin uous A ttribut..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Discretization of Con tin uous A ttributes for Learning Classi cation Rules Aijun An and: Transcript

PDF-Discretization of Con tin uous A ttributes for Learning Classi cation Rules Aijun An and PDF document

Presentation Embed Code

Download Presentation

Discretization of Con tin uous A ttributes for Learning Classi cation Rules Aijun An and: Transcript

Related Contents

ePartitioning

DynamicNURBSSwungSurfacesforPh ysicsBased ShapeDesign HongQin and DemetriT erzopoulos

Ev aluating Represen tations for the ShineDalgarno Site in Escherichia oli Stev en Hampson

Mac hine learning for highsp eed corner detection Edw ard Rosten and om Drummond Departmen

Mac hine learning for highsp eed corner detection Edw ard Rosten and om Drummond Departmen

NEARL LINEAR TIME uri Gurevic Electrical Engineering and Computer Science Univ ersit of

NonparametricLocalT ransformsfor ComputingVisualCorrespondence Ramin Zabih and John W

ttp://www.mirlabs.org

Using Sw ap Instruction to Coalesce Loads and Stores Apan Qasem Da vid Whalley Xin uan

An ane in arian salien region detector Timor Kadir Andrew Zisserman and Mic hael Brady

DARIES Distributed ersion of the ARIES Reco ery Algorithm Ja yson Sp eer and Markus Kirc

On SelfT riggered ullInformation Hinnit Con trollers Mic hael Lemmon Thidapat Chan tem

Clarify Soft are for In terpreting and Presen ting Statistical Results Mic hael omz Jason

ErrorCorrecting Output Co ding for ext Classication Adam Berger Sc ho ol of Computer Science