'Manhattan distance' diaporamas de présentation

Metodi Numerici per la Bioinformatica

Metodi Numerici per la Bioinformatica. Cluster Analysis. A.A. 2008/2009. Francesco Archetti. Overview. What is Cluster Analysis? Why Cluster Analysis? Cluster Analysis Distance Metrics Clustering Algorithms Cluster Validity Analysis Difficulties and drawbacks Conclusions.

984 views • 67 slides

Metodi Numerici per la Bioinformatica

Metodi Numerici per la Bioinformatica. Cluster Analysis. A.A. 2008/2009. Francesco Archetti. Overview. What is Cluster Analysis? Why Cluster Analysis? Cluster Analysis Distance Metrics Clustering Algorithms Cluster Validity Analysis Difficulties and drawbacks Conclusions.

1.17k views • 67 slides

CS184a: Computer Architecture (Structure and Organization)

588 views • 58 slides

Methodologies for Performance Simulation of Super-scalar OOO processors

Methodologies for Performance Simulation of Super-scalar OOO processors. Srinivas Neginhal Anantharaman Kalyanaraman CprE 585: Survey Project. Architectural Simulators. Explore Design Space Evaluate existing hardware, or Predict performance of proposed hardware Designer has control.

557 views • 32 slides

Heuristic Search

398 views • 28 slides

CS 4100 Artificial Intelligence

CS 4100 Artificial Intelligence. Prof. C. Hafner Class Notes Feb 9, 2012. Informed search algorithms. Outline. Heuristics Best-first search Greedy best-first search A * search. A search strategy is defined by picking the order of node expansion. Best-first search.

506 views • 25 slides

Neural Heuristics For Problem Solving: Using ANNs to Develop Heuristics for the 8-Puzzle

Neural Heuristics For Problem Solving: Using ANNs to Develop Heuristics for the 8-Puzzle. by Bambridge E. Peterson. What is a problem? (informal). question to be answered paradox to be resolved obstacle to be overcome goal to be achieved crisis to be averted challenge to be met.

401 views • 21 slides

233 views • 21 slides

Rajat Aggarwal Sr Director, FPGA Implementation Tools March 31 st , 2014

361 views • 19 slides

Optimised Search Techniques

Optimised Search Techniques. Basic Idea. BFS brances out to all surrounding nodes No discrimination based on direction of target node. BFS example. S. E. BFS example. S. E. BFS example. S. E. BFS example. S. E. BFS example. S. Large area needlessly explored. E. Alternatives.

253 views • 19 slides

Artificial Intelligence

268 views • 18 slides

Finding Optimal Solution of 15 puzzle

Finding Optimal Solution of 15 puzzle. B94902062 NTUCSIE Kai-Yung Chiang. 15 puzzle introduction. Initial states : a solvable puzzle, including numbered 1~15 tiles and a blank tile 0 Goal state : puzzle in which tiles 0 ~ 15 are in well permutation from row to column

886 views • 15 slides

Heuristic Search

Heuristic Search. The search techniques we have seen so far... Breadth first search Uniform cost search Depth first search Depth limited search Iterative Deepening Bi-directional Search ...are all too slow for most real world problems. uninformed search blind search. 7. 8. 4.

333 views • 15 slides

239 views • 7 slides