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34 results

nurulain mohdyasin
Part 1: Combinatorial Optimization
1:04:07
Part 1: Combinatorial Optimization

10 views

2 years ago

nurulain mohdyasin
Part 2: Combinatorial Optimization
1:01:03
Part 2: Combinatorial Optimization

3 views

2 years ago

Dr. Phat Vo
24th Midwest Optimization
22:30
24th Midwest Optimization

145 views

3 years ago

Liam Pocher
NAPAC 2022 TUZE3: Optimizing the Discovery of Underlying Nonlinear Beam Dynamics (Liam A. Pocher)

Title: Optimizing the Discovery of Underlying Nonlinear Beam Dynamics Presenter: Liam A. Pocher Author(s): Liam A. Pocher, ...

17:08
NAPAC 2022 TUZE3: Optimizing the Discovery of Underlying Nonlinear Beam Dynamics (Liam A. Pocher)

77 views

3 years ago

powsys lectures
PSE422 - 10/03/2023
50:28
PSE422 - 10/03/2023

25 views

2 years ago

Dr. Phat Vo
The 23rd Midwest Optimization Meeting
25:00
The 23rd Midwest Optimization Meeting

67 views

4 years ago

TinRZ
Math Tech Lecture 12 part 2
1:33:21
Math Tech Lecture 12 part 2

9 views

1 year ago

Puru Kathuria
The Simple Math That Rules Every AI (Linear Regression)

In this episode of Deep Learning Talks, Puru revisits one of the most fundamental concepts in machine learning: Linear ...

17:00
The Simple Math That Rules Every AI (Linear Regression)

51 views

13 days ago

Puru Kathuria
The First Real Classification Algorithm

In this episode of Deep Learning Talks, Puru explains the natural evolution from Linear Regression to Logistic Regression, ...

13:49
The First Real Classification Algorithm

38 views

11 days ago

delmarphotonics
THz Generation: PCA vs Nonlinear Crystal

THz Generation: PCA vs Nonlinear Crystal Question: We would like to generate and detect THz pulses by optical rectification and ...

0:42
THz Generation: PCA vs Nonlinear Crystal

23 views

7 months ago

Lucca Faro
NISE-PE Constraint: Data-Driven Predictive Control with Persistence of Excitation @ CDC 2025

Link to the paper: https://arxiv.org/abs/2504.04548.

14:03
NISE-PE Constraint: Data-Driven Predictive Control with Persistence of Excitation @ CDC 2025

7 views

1 month ago

Estimation, Control, and Learning Laboratory
Dynamic Mode Adaptive Control (DMAC): A Data-Driven Model-Free Control Synthesis Method

In this video, Parham Oveissi presents his paper, “Model-free Dynamic Mode Adaptive Control using Matrix RLS,” at an academic ...

15:03
Dynamic Mode Adaptive Control (DMAC): A Data-Driven Model-Free Control Synthesis Method

19 views

2 months ago

MR. PREMSTA
Optimization Question - Minimum Distance Between 2 Points

The point P lies on the curve with equation y = x^2 , so that its distance from the point A (10,2) is least. Determine the coordinates ...

10:51
Optimization Question - Minimum Distance Between 2 Points

79 views

4 years ago

Alan Jenn
UC Davis TTP 201 - Applied Data Analysis (Spring 2024) - Lecture 16

Regressions so in a linear regression it so happens that the optimization to minimize those squ errors um with respect to changing ...

1:37:20
UC Davis TTP 201 - Applied Data Analysis (Spring 2024) - Lecture 16

61 views

1 year ago

Alan Jenn
UC Davis TTP 201 - Applied Data Analysis (Spring 2024) - Lecture 9

... straight up just solve um turns out for a log likelihood function we don't have that so this is actually an optimization problem and ...

1:50:12
UC Davis TTP 201 - Applied Data Analysis (Spring 2024) - Lecture 9

202 views

1 year ago

Manuel Yves Galliker
Online Gait Generation using Whole-Body Dynamics, Humanoids 2022 Talk

Recording of the Oral presentation of the paper titled "Planar Bipedal Locomotion with Nonlinear Model Predictive Control: Online ...

9:15
Online Gait Generation using Whole-Body Dynamics, Humanoids 2022 Talk

172 views

3 years ago

ICCP
Poster 1. D-Flat: A Differentiable Flat-Optics Framework for MetasurfaceVisual Sensor Design

Dean Hazineh (Harvard University); Zhujun Shi (Meta Reality Labs); Federico Capasso (Harvard University); Todd Zickler ...

2:04
Poster 1. D-Flat: A Differentiable Flat-Optics Framework for MetasurfaceVisual Sensor Design

996 views

3 years ago

Selina Shrivastava
Chapter 3: Understanding Activation Functions | ReLU, Sigmoid & Softmax Simplified!

In this video, we take a deep dive into Activation Functions, the secret sauce that makes neural networks capable of learning ...

8:52
Chapter 3: Understanding Activation Functions | ReLU, Sigmoid & Softmax Simplified!

395 views

9 months ago

Puru Kathuria
Why Your "Modern" AI Still Uses 1950s Math

In this episode of Deep Learning Talks, we revisit one of the most foundational yet misunderstood models in machine learning, ...

7:34
Why Your "Modern" AI Still Uses 1950s Math

26 views

2 weeks ago

卢力伟
LuLiWei 0360621 Assignemnt
3:23
LuLiWei 0360621 Assignemnt

14 views

1 year ago