'Tree 2' diaporamas de présentation

ML: Classical methods from AI Decision-Tree induction Exemplar-based Learning Rule Induction TBEDL

ML: Classical methods from AI Decision-Tree induction Exemplar-based Learning Rule Induction TBEDL. DecisionTrees. Decision Trees. Decision trees are a way to represent rules underlying training data, with hierarchical sequential structures that recursively partition the data.

586 views • 46 slides

Three-Dimensional Layout of On-Chip Tree-Based Networks

Three-Dimensional Layout of On-Chip Tree-Based Networks. Hiroki Matsutani (Keio Univ, Japan) Michihiro Koibuchi (NII, Japan) D. Frank Hsu (Fordham Univ, USA) Hideharu Amano (Keio Univ, Japan). Outline. Introduction Network-on-Chip (NoC) 2-D vs. 3-D Fat Tree 2-D layout

512 views • 41 slides

Three-Dimensional Layout of On-Chip Tree-Based Networks

Three-Dimensional Layout of On-Chip Tree-Based Networks. Hiroki Matsutani (Keio Univ, Japan) Michihiro Koibuchi (NII, Japan) D. Frank Hsu (Fordham Univ, USA) Hideharu Amano (Keio Univ, Japan). Outline. Introduction Network-on-Chip (NoC) 2-D vs. 3-D Fat Tree 2-D layout

414 views • 41 slides

The Most General Markov Substitution Model on an Unrooted Tree

The Most General Markov Substitution Model on an Unrooted Tree. Von Bing Yap Department of Statistics and Applied Probability National University of Singapore Acknowledgements: Rongli Zhang, Lior Pachter. Statistical Phylogenetics.

489 views • 38 slides

B-Trees

B-Trees. Motivation for B-Trees. Index structures for large datasets cannot be stored in main memory Storing it on disk requires different approach to efficiency Assuming that a disk spins at 3600 RPM, one revolution occurs in 1/60 of a second, or 16.7ms

494 views • 35 slides

Optimizing Conventional Chemotherapy in Advanced Colorectal Cancer

Optimizing Conventional Chemotherapy in Advanced Colorectal Cancer. Axel Grothey Mayo Clinic College of Medicine Rochester, MN. Pertinent Questions in Advanced CRC. BICC-C, OPTIMOX, GISCAD. Multiple effective agents and regimens available What is the best strategic use of options?

608 views • 26 slides

B-Trees

B-Trees. Motivation for B-Trees. Index structures for large datasets cannot be stored in main memory Storing it on disk requires different approach to efficiency Assuming that a disk spins at 3600 RPM, one revolution occurs in 1/60 of a second, or 16.7ms

341 views • 24 slides

B - Trees

B - Trees. T. K. Prasad Wright State University. Motivation for B-Trees. Index structures for large datasets cannot be stored in main memory Storing it on disk requires different approach to efficiency

244 views • 24 slides

B-Trees

B-Trees. Motivation for B-Trees. Index structures for large datasets cannot be stored in main memory Storing it on disk requires different approach to efficiency Assuming that a disk spins at 3600 RPM, one revolution occurs in 1/60 of a second, or 16.7ms

248 views • 24 slides

HS Hochster

364 views • 23 slides

B-Trees

B-Trees. CSIT 402 Data Structures II With thanks to TK Prasad. Motivation for B-Trees. Index structures for large datasets cannot be stored in main memory Storing it on disk requires different approach to efficiency

232 views • 23 slides

Stack

584 views • 22 slides

REDEMPTION!

165 views • 13 slides

Time To Decorate The Tree Verse 1: Time to decorate the tree! Merry, merry, merry Christmas!

Time To Decorate The Tree Verse 1: Time to decorate the tree! Merry, merry, merry Christmas! Ring the bells so joyfully! Merry, merry, merry Christmas! Hang the ribbon, and the lights so They can twinkle in the night. Decorate the Christmas tree! Merry, merry, merry Christmas! Verse 2:

145 views • 11 slides