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Results found for “phd”

Showing results 501-510 of 814.

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Collaborate with the best minds in a fluid and stimulating setting and conduct breakthrough research that will make a difference to the world.
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Courses
Collaborate with the best minds in a fluid and stimulating setting and conduct breakthrough research that will make a difference to the world.
programme-listing
ESD Research Seminar by Ali Kavis – Adaptive and robust optimisation algorithms for large scale machine learning

ESD Research Seminar by Ali Kavis – This seminar will investigate the shortcomings of classical approaches and explore how data-driven, adaptive mechanisms could help in theory and application.

ESD
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Congratulations to Associate Professor Lu Wei and his team for their successful launch of new AI Model “TinyLlama”

Congratulations to Associate Professor Lu Wei and his team for their successful launch of new AI Model “TinyLlama”

ISTD
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Course schedule
Collaborate with the best minds in a fluid and stimulating setting and conduct breakthrough research that will make a difference to the world.
programme-listing
ESD Research Seminar by Mingmei Li & Benjamin Tan – Presentations by the Aviation Studies Institute

ESD Research Seminar by Mingmei Li & Benjamin Tan – ASI will present two topics, “Estimating Hub Traffic Share on the ‘Kangaroo Route’ via an Aggregate Itinerary Choice Model” and “Air Traffic Delay Propagation and Root Cause Identification through Trajectory-Based Optimisation Analysis”.

ASI
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Yan Shuo Tan (National University of Singapore) – Understanding and Overcoming the Statistical Limitations of Decision Trees

Yan Shuo Tan (National University of Singapore) – Understanding and Overcoming the Statistical Limitations of Decision Trees

events-listing
Jacob Kang
KANG Jacob
Lecturer
jacob_kang
sutd.edu.sg
EPD
Nutchanon Suvittawat
NUTCHANON Suvittawat
PhD Student
nutchanon_suvittawat
mymail.sutd.edu.sg
ISTD
ESD Research Seminar by Themis Gouleakis – Beyond worst-case: The rise of learning-augmented online algorithms

ESD Research Seminar by Themis Gouleakis – Online algorithms are traditionally analysed in adversarial worst-case settings, leading to guarantees that often fail to capture practical performance. The emerging framework of learning-augmented algorithms integrates machine-learned predictions into online decision making while preserving rigorous guarantees.

ESD
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