Over the past years, there has been a growing interest in Unsupervised Learning methods, mainly due to the massive increase in the volume and types of data stored, as well as, in their use for Big Data Analytics. Since tagging such quantities of data infeasible, various methodologies have been developed to allow systems to exploit these large amounts of data and the information they provide in a non-supervised manner.
The fourth annual Unsupervised Machine Learning Seminar will be the satellite event for the 2018 Speech Processing Conference. The focus of the seminar will be theory and application of unsupervised learning mechanisms such as clustering and deep learning in various domains. The keynote lecture will be given by Dr. Maya Ackerman who will speak about Cluster Analysis: Bridging Theory and Practice . The event will include several short lectures.
The seminar will be held immediately following and is included in the registration fee for the conference. Registration for the satellite event is also available as a separate fee.
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Program: Satellite Event - Unsupervised Machine Learning Seminar
| 16:30 - 16:45
- Dr. Itshak Lapidot, Seminar Chairman, ACLP, Afeka
Dr. Maya Ackerman
Santa Clara University & CEO of WaveAI Inc
Cluster Analysis: Bridging Theory and Practice
- Incremental Speaker Segments Clustering
Ms. Ruth Aloni Lavi, ACLP, Afeka
- Learning to Estimate Under Transformed Probability Measures.
Dr. Koby Todros, Dept. of ECE, Ben-Gurion-University of the Negev
- An Anatomy of Scaling Unsupervised Learning for Online Gaming
Mr. Igal Grinis, Head of Research, Tomobox
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