Graphs and ML for Robotics
Data Skeptic4 Nov 2024

Graphs and ML for Robotics

We are joined by Abhishek Paudel, a PhD Student at George Mason University with a research focus on robotics, machine learning, and planning under uncertainty, using graph-based methods to enhance robot behavior. He explains how graph-based approaches can model environments, capture spatial relationships, and provide a framework for integrating multiple levels of planning and decision-making.

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(601)

Quantum K-Means

Quantum K-Means

In this episode, we interview Jonas Landman, a Postdoc candidate at the University of Edinburg. Jonas discusses his study around quantum learning where he attempted to recreate the conventional k-mean...

11 Apr 202239min

K-Means in Practice

K-Means in Practice

K-means is widely used in real-life business problems. In this episode, Mujtaba Anwer, a researcher and Data Scientist walks us through some use cases of k-means. He also spoke extensively on how to p...

4 Apr 202230min

Fair Hierarchical Clustering

Fair Hierarchical Clustering

Building a fair machine learning model has become a critical consideration in today's world. In this episode, we speak with Anshuman Chabra, a Ph.D. candidate in Computer Networks. Chhabra joins us to...

28 Mar 202234min

Matrix Factorization For k-Means

Matrix Factorization For k-Means

Many people know K-means clustering as a powerful clustering technique but not all listeners will be as familiar with spectral clustering. In today's episode, Sibylle Hess from the Data Mining group a...

21 Mar 202230min

Breathing K-Means

Breathing K-Means

In this episode, we speak with Bernd Fritzke, a proficient financial expert and a Data Science researcher on his recent research - the breathing K-means algorithm. Bernd discussed the perks of the alg...

14 Mar 202242min

Power K-Means

Power K-Means

In today's episode, Jason, an Assistant Professor of Statistical Science at Duke University talks about his research on K power means. K power means is a newly-developed algorithm by Jason and his tea...

7 Mar 202232min

Explainable K-Means

Explainable K-Means

In this episode, Kyle interviews Lucas Murtinho about the paper "Shallow decision treees for explainable k-means clustering" about the use of decision trees to help explain the clustering partitions. ...

3 Mar 202225min

Customer Clustering

Customer Clustering

Have you ever wondered how you can use clustering to extract meaningful insight from a time-series single-feature data? In today's episode, Ehsan speaks about his recent research on actionable feature...

28 Feb 202222min

Populært innen Vitenskap

fastlegen
jss
tingenes-tilstand
forskningno
rekommandert
rss-paradigmepodden
villmarksliv
sinnsyn
rss-zahid-ali-hjelper-deg
vett-og-vitenskap-med-gaute-einevoll
kvinnehelsepodden
rss-inn-til-kjernen-med-sunniva-rose
nordnorsk-historie
nevropodden
tidlose-historier
liberal-halvtime
fjellsportpodden
rss-overskuddsliv
grunnstoffene
rss-rekommandert