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1,126 results

Berkeley Institute for Data Science (BIDS)
Selective Inference in Regression

BIDS Data Science Lecture Series | September 11, 2015 | 1:00-2:30 p.m. | 190 Doe Library, UC Berkeley Speaker: Jonathan ...

59:14
Selective Inference in Regression

2,416 views

Streamed 10 years ago

datalabcc
Feature Selection - Statistics - 4.3

One of the most important questions facing data scientists is how to choose which features or variables to focus on. For more on ...

6:16
Feature Selection - Statistics - 4.3

1,341 views

8 years ago

Social RTCL TV
An improved control rod selection algorithm for core power control at TRIGA PUSPATI R... | RTCL.TV

Keywords ### #controlrodselectionalgorithm #controlrodworth #corepowercontrol #feedbackcontrolalgorithm #reaktortrigapuspati ...

1:26
An improved control rod selection algorithm for core power control at TRIGA PUSPATI R... | RTCL.TV

10 views

2 years ago

Mikko Rönkkö
Heckman sample selection model

In this case selection models can be useful. The most commonly used and well-known selection model is the one introduced by ...

23:45
Heckman sample selection model

39,799 views

5 years ago

ESMARConf2021
ESMARConf2021 Session 2A (Quantitative Synthesis): Wolfgang Viechtbauer

Presenter: Wolfgang Viechtbauer Session: Quantitative Synthesis (https://youtu.be/Q9Nce5pxebY) Title: Selection models for ...

8:25
ESMARConf2021 Session 2A (Quantitative Synthesis): Wolfgang Viechtbauer

327 views

5 years ago

NSRC Network Startup Resource Center
BGP Path Selection

So now I'd like to turn my attention to the BGP path selection algorithm. We have looked at all the BGP attributes and what they do ...

8:16
BGP Path Selection

3,605 views

6 years ago

J David Eisenberg
Chapter 7: Selection Sort

This topic is covered in a lot of other places. Rather than me making yet another selection sort video, here are some links: Web ...

0:27
Chapter 7: Selection Sort

188 views

6 years ago

Dr Mehrdad Arashpour
EXCEL Evolutionary Method 2026 🧬 Supplier Selection & Project Procurement Management- Solver

I use Insta360: https://amzn.to/4mvNoxZ In this video of #engineeringmanagementacademy #EvolutionaryMethod and ...

2:56
EXCEL Evolutionary Method 2026 🧬 Supplier Selection & Project Procurement Management- Solver

858 views

1 year ago

Jon Gjengset
Crust of Rust: Sorting Algorithms

In this Crust of Rust episode, we implement some common sorting algorithms in Rust. This episode doesn't aim to explain any ...

2:37:53
Crust of Rust: Sorting Algorithms

67,380 views

5 years ago

Genetic Improvement Workshop
Using Genetic Improvement to Retarget Quantum Software on Differing Hardware

Quantum computers are rapidly developing to a point where they can solve problems faster than any classical computation.

14:15
Using Genetic Improvement to Retarget Quantum Software on Differing Hardware

28 views

4 years ago

nptelhrd
Mod-01 Lec-45 Solving ODE-IVPs: Selection of Integration Interval and Convergence Analysis

Advanced Numerical Analysis by Prof. Sachin C. Patwardhan,Department of Chemical Engineering,IIT Bombay.For more details ...

51:26
Mod-01 Lec-45 Solving ODE-IVPs: Selection of Integration Interval and Convergence Analysis

1,745 views

11 years ago

aantonop
Bitcoin Q&A: Coin Selection and Privacy

How do coin selection algorithms work? What is STONEWALL and Ricochet? How did Samourai become one of the most ...

18:18
Bitcoin Q&A: Coin Selection and Privacy

12,681 views

7 years ago

Samir Paul
Sorting: Selection Sort, Bubble Sort, Insertion Sort

ADSB 06_01.

14:52
Sorting: Selection Sort, Bubble Sort, Insertion Sort

25,168 views

11 years ago

Iris Kohler
[CBIS 112] Selection Structures

It's time to put those Booleans to good use. We learn how to choose what lines of code will run based on Boolean expressions.

57:20
[CBIS 112] Selection Structures

10 views

3 years ago

nptelhrd
Mod-04 Lec-32 Feature Selection Criteria Function: Probabilistic Separability Based

Pattern Recognition by Prof. C.A. Murthy & Prof. Sukhendu Das,Department of Computer Science and Engineering,IIT Madras.

45:33
Mod-04 Lec-32 Feature Selection Criteria Function: Probabilistic Separability Based

3,500 views

11 years ago

NPTEL IIT Bombay
Lecture 19A: Line search methods for unconstrained optimization

Week 10: Lecture 19A: Line search methods for unconstrained optimization.

21:19
Lecture 19A: Line search methods for unconstrained optimization

11,030 views

4 years ago

nptelhrd
Mod-04 Lec-29 Feature Selection : Branch and Bound Algorithm

Pattern Recognition by Prof. C.A. Murthy & Prof. Sukhendu Das,Department of Computer Science and Engineering,IIT Madras.

53:14
Mod-04 Lec-29 Feature Selection : Branch and Bound Algorithm

14,471 views

11 years ago

Mikko Rönkkö
Introduction to missing data and sample selection

Another related concept is sample selection. In this video, I'll give a quick overview what missing data is and what sample ...

9:58
Introduction to missing data and sample selection

2,301 views

5 years ago

NPTEL IIT Bombay
Week 2 : Lecture 7 : Selection of PID Controller

Lecture 7 : Selection of PID Controller.

22:09
Week 2 : Lecture 7 : Selection of PID Controller

406 views

1 year ago

STEM RTCL TV
Efficient Feature Selection Using Weighted Superposition Attraction Optimization Algo... | RTCL.TV

Keywords ### #optimization #metaheuristics #featureengineering #classification #WSA #KNN #RTCLTV #shorts ### Article ...

1:11
Efficient Feature Selection Using Weighted Superposition Attraction Optimization Algo... | RTCL.TV

17 views

2 years ago