Journal of the Transport Research Board, accepted. Volumepp The International Planning Competition:
He then moved on to research Gaussian Processes and developing new kernels that model non-stationary changes in e. AI, Sami has finished most of his PhD research and will receive his degree in early AI, bringing machine learning experience to the company.
An undergraduate major in mathematics ensures a strong understanding of the theoretical foundations behind the algorithms. As a researcher in the Applications of Machine Learning group in Aalto University, and later the Department of Business Management and Analytics at the Arcada University of Applied Sciences, Emil has worked on finding machine learning solutions to all sorts of different use cases in fields such as finance, security, and healthcare.
When not in the office, Emil can be found travelling the world with any one of his several music projects. Within the research projects he has participated in, he has completed more than 70 scientific peer reviewed articles with an H-index of 13 Google scholar.
The borderline between economics and IT has long fascinated him, as well as inspired him to pursue achievements in both education and research.
He has held approx. His research interests are in optimization, machine learning, analytics, supply chain management and fuzzy logic.Suvash Sedhain PhD, ANU Computer Science ; machine learning, NICTA (co-advised with Scott Sanner and Aditya Menon) Thesis: A Unified Approach to .
Prof. Scott Sanner, PhD.
Office location: BA D3M Group Members (March ) Post-doctoral Fellows. Dusan Sovilj (Machine Learning for Adaptive User Interfaces) Reda Bouadjenek (Information Retrieval for Adaptive User Interfaces) Honours Thesis Students. Yu Qing (Ivan) Zhou () (Recommender Systems).
Scott Sanner MDPs have become the de facto standard for modelling decision-theoretic planning problems. Recent work on MDPs has focused primarily on two research areas: 1. Thesis Summary: First-order Decision-Theoretic Planning Scott Sanner Department of Computer Science University of Toronto [email protected] 1 Overview.
sessions during the course of my PhD, particularly Scott Sanner and my supervisor Tiberio Caetano. Our thesis as a whole introduces a new suit of techniques for machine learning prac-titioners that increases the size and type of problems that can be efﬁciently solved.
Thesis Summary: First-order Decision-Theoretic Planning Scott Sanner Department of Computer Science University of Toronto [email protected] 1 Overview.