Support Vector Machines (Cont..) ‏

Apr 05, 2019

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Support Vector Machines (Cont..) ‏. Hinge Loss. +. +. +. Penalty. +. -. +. -. +. +. -. -. -. +. -. H. -. -. How far from sep. plane. Recall. PLR. Lins. Dual Representation. Instead of holding . in memory,. Hold. Kernal Function. x. -. -. -. -. -. -. -. -.

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Support Vector Machines (Cont..) ‏

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Support Vector Machines (Cont..)‏
Hinge Loss + + + Penalty + - + - + + - - - + - H - - How far from sep. plane
Recall PLR Lins
Dual Representation Instead of holding in memory, Hold

Kernal Function x
- - - - - - - - - - - - - + + + + + - - - - -

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Support Vector Machines (Cont..) ‏

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Presentation Transcript

Kernel – Based Methods

14 Vector Autoregressions, Unit Roots, and Cointegration

Synchronous Machines

VECTOR CALCULUS

Vector Space Text Classification

VECTOR CALCULUS

Pipelining and Vector Processing

SIDEROSIS

Vectors &amp; Relative Motion

Kernel – Based Methods

VECTOR CALCULUS

Support Vector Machine 支持向量機

VECTOR CALCULUS

Cryptography on Non-Trusted Machines

Chapter 3 Vector Spaces

Vector Calculus

Support Vector Machine

Support Vector Machines and Radial Basis Function Networks

Big Question: How do machines help people work together?

Support Vector Machine Classifiers

Vectors & Relative Motion