Toggle navigation
Video
♫ Thôn Quê
♫ Sông Đáy
♫ Liên Khúc
♫ Nhạc Đám Cưới
♫ Nonstop Việt
♫ Không Lời
♫ Nhạc Vàng Trữ Tình
♫ Nhạc Trẻ
Sampling (Surrogate-Based Optimization I)
BYU FLOW Lab
6.513 Lượt nghe
Prev
play
stop
Next
mute
max volume
00:00
00:00
repeat
Update Required
To play the media you will need to either update your browser to a recent version or update your
Flash plugin
.
Tải MP3
MÔ TẢ MP3
TIẾP THEO
Sampling (Surrogate-Based Optimization I)
Overview of surrogate-based optimization, pitfalls of full grid search and random sampling, Latin hypercube sampling, inversion sampling, low discrepancy sequences, Halton sequence.
Những bài liên quan
39:41
Regression Models (Surrogate Based Opt.)
2.2 N
BYU FLOW Lab
16:26
Traditional sampling techniques (grid vs random vs sobol vs latin hypercube)
13.1 N
Taylor Sparks
46:31
Surrogate model-based algorithms for expensive black-box optimization
456
OPTIMA ARC
50:05
6. Monte Carlo Simulation
2.1 Tr
MIT OpenCourseWare
1:23:45
Bruno Sudret (ETH Zürich): Surrogate modelling approaches for stochastic simulators
3.5 N
CWI SC Group
31:00
Simulated Annealing
13.2 N
BYU FLOW Lab
31:38
339 - Surrogate Optimization explained using simple python code
3.1 N
DigitalSreeni
10:40
BARÇA MISTRZEM! CUDOWNY GOL LAMINE YAMALA | SKRÓT MECZU Z ESPANYOLEM
53.1 N
ELEVEN SPORTS PL
28:48
Trust Regions
7 N
BYU FLOW Lab
10:06
Monte Carlo Simulation
1.6 Tr
MarbleScience
1:26:06
Roman Garnett - Bayesian Optimization
7.5 N
Tübingen Machine Learning
17:06
You've been using the Wrong Random Numbers! - Monte Carlo Simulations
12 N
QuantPy
59:45
Mini Tutorial 6: An Introduction to Uncertainty Quantification for Modeling & Simulation
6 N
IDA
1:20:09
Stanford AA222/CS361 Engineering Design Optimization I Probabilistic Surrogate Optimization
8.6 N
Stanford Online
51:33
Surrogate Model Based Optimization and Active Learning for HPC Applications -- Juliane Mueller
965
Margie Wylie-Petruzziello
35:19
Vanilla Bayesian Optimization Performs Great in High Dimensions
6.4 N
AutoML Seminars
21:11
Infill (Surrogate Based Opt.)
1.2 N
BYU FLOW Lab
35:11
Is the Future of Linear Algebra.. Random?
403.6 N
Mutual Information
22:58
Will Usher: Using the SALib library for conducting sensitivity analyses of models
11 N
PyData
1:34:54
2. Bayesian Optimization
67 N
UAI 2018
Nhạc Theo Chủ Đề
Nhạc Không Lời
Nhạc Vàng HOT
Nhạc Liên Khúc
Nhạc DJ HOT
Nhạc Hà Nam
Nhạc Vĩnh Yên
Nhạc Hưng Yên
Nhạc Hải Dương
Nhạc Hà Tây
Nhạc Sông Đáy
LK Nhạc Vàng
LK Nhạc Trẻ
Liên kết website