四、人工神经网络与遗传算法
[PPT] Neural Networks
[PPT] Artificial Neural Networks
[PPT] Neural Networks: An Introduction and Overview
[PPT] Evolving Multiple Neural Networks
[PPT] Introduction to Neural Networks
[PPT] Training and Testing Neural Networks
[PPT] Neuro-Fuzzy and Soft Computing
[PPT] A Comparison of a Self-Organizing Neural Network Vs. Traditional ...
[PPT] Breast Cancer Diagnosis via Neural Network Classification
[PPT] Effective Data Mining Using Neural Networks
[PPT] Machine learning and Neural Networks
[PPT] Artificial Neural Networks in Image Analysis
[PPT] Neural Miner
[PPT] Minimal Neural Networks
[PPT] Learning with Perceptrons and Neural Networks
[PPT] Feature Selection for Intrusion Detection Using SVMs and ANNs
[PPT] Artificial Neural Networks: Supervised Models
[PPT] Optimal linear combinations of Neural Networks
[PPT] Artificial Neural Networks for Supervised Learning in Data Mining
[PPT] Neural Computing
[PPT] Using Neural Networks for Clustering on RSI data and Related ...
[PPT] Classification and diagnostic prediction using artificial neural ...
[PPT] Continuous Hopfield network
[PPT] SURVEY ON ARTIFICIAL IMMUNE SYSTEM
[PPT] Data Mining with Neural Networks and Genetic Algorithms
[PPT] Fuzzy Systems, Neural Networks and Genetic Algorithms
[PPT] Evolving Multiple Neural Networks
[PPT] Genetic Algorithms
[PPT] Multi-objective Optimization Using Genetic Algorithms. ...
[PPT] Performance of Genetic Algorithms for Data Classification
[PPT] Evolutionary Algorithms
[PPT] Basic clustering concepts and clustering using Genetic Algorithm
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
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
[PPT] Neural Networks
[PPT] Artificial Neural Networks
[PPT] Neural Networks: An Introduction and Overview
[PPT] Evolving Multiple Neural Networks
[PPT] Introduction to Neural Networks
[PPT] Training and Testing Neural Networks
[PPT] Neuro-Fuzzy and Soft Computing
[PPT] A Comparison of a Self-Organizing Neural Network Vs. Traditional ...
[PPT] Breast Cancer Diagnosis via Neural Network Classification
[PPT] Effective Data Mining Using Neural Networks
[PPT] Machine learning and Neural Networks
[PPT] Artificial Neural Networks in Image Analysis
[PPT] Neural Miner
[PPT] Minimal Neural Networks
[PPT] Learning with Perceptrons and Neural Networks
[PPT] Feature Selection for Intrusion Detection Using SVMs and ANNs
[PPT] Artificial Neural Networks: Supervised Models
[PPT] Optimal linear combinations of Neural Networks
[PPT] Artificial Neural Networks for Supervised Learning in Data Mining
[PPT] Neural Computing
[PPT] Using Neural Networks for Clustering on RSI data and Related ...
[PPT] Classification and diagnostic prediction using artificial neural ...
[PPT] Continuous Hopfield network
[PPT] SURVEY ON ARTIFICIAL IMMUNE SYSTEM
[PPT] Data Mining with Neural Networks and Genetic Algorithms
[PPT] Fuzzy Systems, Neural Networks and Genetic Algorithms
[PPT] Evolving Multiple Neural Networks
[PPT] Genetic Algorithms
[PPT] Multi-objective Optimization Using Genetic Algorithms. ...
[PPT] Performance of Genetic Algorithms for Data Classification
[PPT] Evolutionary Algorithms
[PPT] Basic clustering concepts and clustering using Genetic Algorithm
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
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
