Search Results for author:
Found 12 papers, 4 papers with code
Benefits and limitations of a new hydraulic performance model
In this work, we hypothesised that the benefits of the model come at the cost of inaccurate predictions of metabolic responses to exercise such as $\dot{V}_{\mathrm{O}_2}$.
Analyzing Echo-state Networks Using Fractal Dimension
This connection between fractal dimension and network connectivity is an interesting new direction for recurrent neural network initialization and reservoir computing.
A Systematic Literature Review of Automated ICD Coding and Classification Systems using Discharge Summaries
Efforts are still required to improve ICD code prediction accuracy, availability of large-scale de-identified clinical corpora with the latest version of the classification system.
A New Pathway to Approximate Energy Expenditure and Recovery of an Athlete
This work proposes to use evolutionary computation as a pathway to allow a new perspective on the modeling of energy expenditure and recovery of an individual athlete during exercise.
Information Maximizing Exploration with a Latent Dynamics Model
A key insight of our approach is that this dynamics model can be learned in the latent feature space of a value function, representing the dynamics of the agent and the environment.
The Power of Linear Recurrent Neural Networks
Recurrent neural networks are a powerful means to cope with time series.
RoboCupSimData: A RoboCup soccer research dataset
These data are made available as CSV files, as well as in the original soccer simulator formats.
Analysing Soccer Games with Clustering and Conceptors
With the proposed approach, we can segment games into sequences of situations that are learnt in an unsupervised way, and learn conceptors that are useful for the prediction of the near future of the respective situation.
BetaRun Soccer Simulation League Team: Variety, Complexity, and Learning
RoboCup offers a set of benchmark problems for Artificial Intelligence in form of official world championships since 1997.
Simulation leagues: Analysis of competition formats
A proposed new competition format is found to reduce variation from the resultant statistically significant team performance rankings by 75% and 67%, when compared to the actual competition results from RoboCup 2012 and 2013 respectively.
Nano-scale reservoir computing
This work describes preliminary steps towards nano-scale reservoir computing using quantum dots.
Guided Self-Organization of Input-Driven Recurrent Neural Networks
We review attempts that have been made towards understanding the computational properties and mechanisms of input-driven dynamical systems like RNNs, and reservoir computing networks in particular.
