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844 results

INI Seminar Room 1
Prof. Michael Jordan | Kernel-based contrast functions for sufficient dimension reduction

Title: Kernel-based contrast functions for sufficient dimension reduction Speaker: Professor Michael Jordan (University of ...

57:05
Prof. Michael Jordan | Kernel-based contrast functions for sufficient dimension reduction

2 views

10 days ago

INI Seminar Room 1
UNQW04 | Luc Pronzato | Bayesian quadrature,energy minimization and kernel herding for space filling

UNQW04 | Dr. Luc Pronzato | Bayesian quadrature, energy minimization and kernel herding for space filling design Speaker: Dr ...

1:06:06
UNQW04 | Luc Pronzato | Bayesian quadrature,energy minimization and kernel herding for space filling

0 views

10 days ago

Neuronic
How Kernel Spent $100M to Build a Wearable Brain Scanner | Ryan Field (Kernel CEO)

Kernel CEO Ryan Field, PhD shares how his team spent nearly $100M exploring brain measurement technologies before ...

53:15
How Kernel Spent $100M to Build a Wearable Brain Scanner | Ryan Field (Kernel CEO)

90 views

2 weeks ago

GateXAIML
Kernel Trick Explained: Types of Kernel Functions with Intuition | Machine Learning From Zero | L.34

In this lecture, we explore the Kernel Function and the famous Kernel Trick, which allow Support Vector Machines and other ...

19:13
Kernel Trick Explained: Types of Kernel Functions with Intuition | Machine Learning From Zero | L.34

19 views

10 days ago

INI Seminar Room 1
UNQW02 | Prof. David Ginsbourger | Positive definite kernels for deterministic and stochastic

UNQW02 | Prof. David Ginsbourger | Positive definite kernels for deterministic and stochastic approximations of (invariant) ...

56:09
UNQW02 | Prof. David Ginsbourger | Positive definite kernels for deterministic and stochastic

0 views

10 days ago

Soulharmony_blog
How Data Scientists Are Leveraging Kernel PCA for Superior Data Insights

Welcome to SoulHarmony! Your go-to source for the insights, trends, and stories shaping our world today. From the future of AI ...

4:10
How Data Scientists Are Leveraging Kernel PCA for Superior Data Insights

0 views

12 days ago

INI Seminar Room 1
CATW03 | Prof. Manfred Trummer | The Szegö Kernel and Oblique Projections

CATW03 | Prof. Manfred Trummer | The Szegö Kernel and Oblique Projections: Conformal Mapping of Non-smooth Regions ...

23:27
CATW03 | Prof. Manfred Trummer | The Szegö Kernel and Oblique Projections

0 views

10 days ago

ELISA Project
Towards Practical ProgramVerification for the Linux KernelWork in Progress - Keisuke Nishimura

... verification techniques to the Linux kernel function is_core_idle(), and outlined research directions toward making large-scale, ...

33:06
Towards Practical ProgramVerification for the Linux KernelWork in Progress - Keisuke Nishimura

20 views

3 weeks ago

pwn.college
Final Review - CSE466 - Michael - 2025.12.02

Broadcasted live on Twitch -- Watch live at https://www.twitch.tv/pwncollege.

1:15:08
Final Review - CSE466 - Michael - 2025.12.02

61 views

1 day ago

INI Seminar Room 1
MDLW02 | Prof. Lorenzo Rosasco | Understanding neural networks with reproducing kernel Banach spaces

MDLW02 | Prof. Lorenzo Rosasco | Understanding neural networks with reproducing kernel Banach spaces Speaker: Professor ...

50:47
MDLW02 | Prof. Lorenzo Rosasco | Understanding neural networks with reproducing kernel Banach spaces

4 views

10 days ago

Coursesteach
How SVM Kernels Work: Kernel Trick, Feature Mapping & the Bias–Variance Trade-Off

This video explains SVM kernels, the Gaussian (RBF) kernel, and the kernel trick using simple, intuitive examples. We cover ...

6:28
How SVM Kernels Work: Kernel Trick, Feature Mapping & the Bias–Variance Trade-Off

13 views

4 weeks ago

INI Seminar Room 1
WHTW01 | Mr. Pavlos Livasov | Two vector Wiener-Hopf equations with 2x2 kernels

WHTW01 | Mr. Pavlos Livasov | Two vector Wiener-Hopf equations with 2x2 kernels containing oscillatory terms Speaker: Mr ...

25:25
WHTW01 | Mr. Pavlos Livasov | Two vector Wiener-Hopf equations with 2x2 kernels

0 views

10 days ago

Sven-Ake Wegner
Categorification in Functional Analysis (Inaugural Lecture on October 16, 2025)

Abstract: Methods of category theory were introduced into functional analysis during the 1960s and have since then produced a ...

1:10:58
Categorification in Functional Analysis (Inaugural Lecture on October 16, 2025)

94 views

9 days ago

INI Seminar Room 1
Prof. Thomas Prellberg | Counting lattice paths with the kernel method

Title: Counting lattice paths with the kernel method Speaker: Professor Thomas Prellberg (Queen Mary University of London) ...

1:09:01
Prof. Thomas Prellberg | Counting lattice paths with the kernel method

0 views

10 days ago

Linux Plumbers Conference
KFuzzTest: Targeted Fuzzing of Internal Kernel Functions - Ethan Graham (ETH Zurich)

KFuzzTest: Targeted Fuzzing of Internal Kernel Functions - Ethan Graham (ETH Zurich) Fuzz testing the Linux kernel with ...

19:42
KFuzzTest: Targeted Fuzzing of Internal Kernel Functions - Ethan Graham (ETH Zurich)

27 views

6 days ago

QCE
Lec 13 - The Poisson kernel (Purdue University)
49:55
Lec 13 - The Poisson kernel (Purdue University)

0 views

5 days ago

Coursesteach
SVM for Classification | How SVM Works + Kernel Trick Simplified + Practical Tips

upport Vector Machines (SVM) are one of the most powerful classification algorithms in Machine Learning — but when should you ...

6:52
SVM for Classification | How SVM Works + Kernel Trick Simplified + Practical Tips

3 views

2 weeks ago

INI Seminar Room 1
Prof. Laurent Lafforgue | Trying to construct explicitly kernels for Langlands' functoriality 2

Title: Trying to construct explicitly kernels for Langlands' functoriality 2 Speaker: Professor Laurent Lafforgue (IHES) Date: 12th ...

2:21:46
Prof. Laurent Lafforgue | Trying to construct explicitly kernels for Langlands' functoriality 2

0 views

10 days ago

INI Seminar Room 1
STSW01 | Prof. Lorenzo Rosasco | Optimal and efficient learning with random features

STSW01 | Prof. Lorenzo Rosasco | Optimal and efficient learning with random features Speaker: Professor Lorenzo Rosasco ...

50:31
STSW01 | Prof. Lorenzo Rosasco | Optimal and efficient learning with random features

0 views

10 days ago

Low Level
i didn't expect to see this...

https://git.kernel.org/pub/scm/linux/kernel/git/stable/linux.git/commit/?id=3e0ae02ba831da2b707905f4e602e43f8507b8cc MY ...

8:07
i didn't expect to see this...

155,508 views

7 days ago