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(转载)机器学习方法的PPT -2
[ 2008-5-7 10:42:00 | By: 天若有情 ]
 

 

五、支持向量机

[PPT]Support Vector Machine

[PPT]Support Vector Machines ch1. The Learning Methodology

[PPT]Kernel “Machine” Learning

[PPT]Relevance Vector Machine (RVM)

[PPT]Texture Segmentation using Support Vector Machines

[PPT]Large Margin Classifiers and a Medical Diagnostic Application

[PPT]C4.5 and SVM

[PPT]Support Vector Machines Project

[PPT]Scaling multi-class SVMs using inter-class confusion

[PPT]Mathematical Programming in Support Vector Machines

 

六、图论与聚类方法

[PPT]Clustering Algorithms

[PPT]Data Clustering: A Review

[PPT]Identifying Objects Using Cluster and Concept Analysis

[PDF]Clustering Through Decision Tree Construction

[PPT]Concept Learning II

[PPT]Minimum Partitioning and Clustering Algorithms

[PPT]5. Partitioning

[PPT]Constrained Graph Clustering

[PPT]Bi-clustering and co-similarity of documents and words using ...

[PPT]Biclustering of Expressoin Data

[PPT]Classification, clustering, similarity

[PPT]Clustering Using Random Walks

[PPT]Mining Association Rules

[PPT]An Overview of Clustering Methods

 

[PPT]Matching

[PPT]Faster Subtree Isomorphism

[PPT]Similarity Flooding

[PPT]Entangled Graphs Bipartite correlations in multipartite states

[PPT]Maximum Planar Subgraphs in Dense Graphs

[PPT]Matching in bipartite graphs

[PPT]Voting and Consensus Mechanisms

[PPT]Chapter 12 Assignments and Matchings

[PPT]Geometric Constraint Satisfaction Problem Adoption of algebraic ...

[PPT]The Weighted Clique Transversal Set Problem on Distance- ...

[PPT]A Better Algorithm for Finding Planar Subgraph

[PPT]HyperCuP

[PPT]The Disjoint Set ADT

[PPT]Trees, Hierarchies, and Multi-Trees Craig Rixford IS 247 – ...

[PPT]Hypergraph

[PPT]ADT Graph

 

[PPT][Kruksal’s Algorithm]

[PPT]Branch-and-Cut

[PPT]GRAPHS

[PPT]Graphs

[PPT]Trees

[PPT]Trees and Graphs

PPT]Graph Algorithms

[PPT]Graph Problems

[PPT]Shorter Path Algorithms

 [PDF]Trees General Trees A Connected Graph A tree Rooted Trees Rooted ...

[PPT]Chapter 2 Graphs and Independence

[PPT]Graph Algorithms (or, The End Is Near)

[PPT]Greedy Graphs

[PPT]Integrating Optimization and Constraint Satisfaction

[PPT]Conceptual Graphs

[PPT]Guiding Inference with Conceptual Graphs

[PPT]Graph-Based Concept Learning

[PPT]Graphs and Digraphs

[PPT]The Graph Abstract Data Type

[PPT]The ERA Data Model: Entities, Relations and Attributes

[PPT]Stack and Queue Layouts of Directed Acyclic Graphs: Part I

[PPT]Minimum Cost Spanning Trees

[PPT]Chapter 13. Redundancy Elimination

[PPT]Graph Structures and Algorithms

[PPT]Hamiltonian Graphs

[PPT]Hamiltonian Cycles and paths


[PPT]Multilevel Algorithms

[PPT]Greedy and Randomized Local Search

[PPT]Network Capabilities

[PPT]Petri Nets ee249 Fall 2000

[PPT]Petri Nets

[PPT]Extracting hidden information from knowledge networks

[PPT]Interconnect Verification 1

[PPT]Network Flow Approach

[PPT]Statistical Inference, Multiple Comparisons, Random Field Theory

[PPT]Computational Geometry

 
 
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