'Monotonic' diaporamas de présentation

Bloom : Big Systems, Small Programs

Bloom : Big Systems, Small Programs. Neil Conway UC Berkeley. Distributed Computing. Programming Languages. Data prefetching. Register allocation. Loop unrolling. Function inlining. Optimization. Global coordination, waiting. Caching, indexing. Replication, data locality.

799 views • 71 slides

Jeopardy

691 views • 53 slides

Learning by Answer Sets

Learning by Answer Sets. Chiaki Sakama Wakayama University, Japan. Presented at AAAI Spring Symposium on Answer Set Programming, March 2001. Inductive Logic Programming (ILP). Goal : Inductive construction of first-order clausal theories from examples and background knowledge.

486 views • 39 slides

Pertemuan 9 Symbolic Reasoning Under Uncertainty

Pertemuan 9 Symbolic Reasoning Under Uncertainty. Matakuliah : T0264/Inteligensia Semu Tahun : Juli 2006 Versi : 2/1. Learning Outcomes. Pada akhir pertemuan ini, diharapkan mahasiswa akan mampu : << TIK-99 >> << TIK-99>>. Outline Materi. Materi 1 Materi 2 Materi 3 Materi 4

1.18k views • 36 slides

DCP 1172 Introduction to Artificial Intelligence

DCP 1172 Introduction to Artificial Intelligence. Chang-Sheng Chen Topics Covered: Introduction to Nonmonotonic Logic. Monotonic logic. Standard logic is monotonic : once you prove something is true, it is true forever Monotonic Logic is not a good fit to reality

451 views • 28 slides

Replicated Data Consistency in the Cloud

Replicated Data Consistency in the Cloud . Explained through Baseball. Doug Terry Microsoft Research Silicon Valley. Data Replication in the Cloud. remote datacenter. datacenter. remote secondaries. secondaries. remote primary. primary. Read. Read. Write.

404 views • 27 slides

Curvilinear Regression

Curvilinear Regression. Monotonic but Non-Linear. The relationship between X and Y may be monotonic but not linear. The linear model can be tweaked to take this into account by applying a monotonic transformation to Y, X, or both X and Y.

367 views • 24 slides

Continuous Query Languages for DSMS

230 views • 23 slides

Update-Pattern-Aware Modeling and Processing of Continuous Queries

365 views • 21 slides

2014 Derivatives of Inverse Functions

285 views • 16 slides

2-part models

179 views • 13 slides

- Rushabh Mehta, Manthan Sheth

177 views • 7 slides

Nonmetric Multidimensional Scaling

Nonmetric Multidimensional Scaling. input data are ranks: most similar pair AB < CB < AC most different pair, or input data are rating scales: (very similar 1. . .9 very different), but we don't believe in assuming interval level property of data.

296 views • 7 slides