Sort by
Refine Your Search
-
[1,2,3,4,5,6] have shown that the unknown transition models can be accurately approximated as neuro-symbolic (deep) neural networks which then can be compiled into mathematical optimisation models (e.g., MILP
-
question and answer component to an existing MAPF visualiser as part of creating XMAPF. Required knowledge - Comfortable with discrete mathematics and proofs - Basic knowledge of AI (e.g., FIT3080
-
Maxwell King PhD Scholarship The Maxwell King Scholarship (MKS) is named after Professor Maxwell King, who has made an outstanding contribution to graduate research at Monash University, including
-
Monash University - Museums Victoria Honours Research Scholarship The Robert Blackwood partnership is a collaboration between Monash University and Museums Victoria to encourage and facilitate new
-
inference and machine learning to develop subject specific mathematical models of the brain that can be used to infer brain states and monitor and image the brain. This work is centred around a
-
PETs: This aspect requires a significant math background as it involves exploiting various mathematical results to develop a concrete cryptographic algorithm. Although desired, background in advanced
-
given me hope, removing barriers that once seemed insurmountable. The exceptional support from Monash University has been key to making my academic and professional goals feel attainable. The unwavering
-
, D. L. Dowe and K.M. Ting (2006). Model-Based Clustering of Sequential Data , Proc. 5th Annual Hawaii Intl. Conf. on Statistics, Mathematics and Related Fields, 22 pages, 16th - 18th January, 2006
-
In the big-data era, the proliferation of data and the widespread adoption of data analytics have made data literacy a requisite skill for all professions, not just specialist data scientists. At the core of data literacy is the ability to detect patterns and trends, or identify outliers and...
-
systems and swarm robotics. The project builds on well established computational and mathematical modelling techniques to achieve its aims. Departure points will be agent-based simulations, optimisation