Outputs (234)

Automatically designing more general mutation operators of Evolutionary Programming for groups of function classes using a hyper-heuristic (2016)
Presentation / Conference Contribution
Hong, L., Drake, J. H., Woodward, J. R., & Özcan, E. (2016, July). Automatically designing more general mutation operators of Evolutionary Programming for groups of function classes using a hyper-heuristic. Presented at The Genetic and Evolutionary Computation Conference (GECCO 2016), Denver, Colorado, USA

In this study we use Genetic Programming (GP) as an offline hyper-heuristic to evolve a mutation operator for Evolutionary Programming. This is done using the Gaussian and uniform distributions as the terminal set, and arithmetic operators as the fun... Read More about Automatically designing more general mutation operators of Evolutionary Programming for groups of function classes using a hyper-heuristic.

Linear algebra for computational sciences and engineering (2016)
Book
Neri, F. (2016). Linear algebra for computational sciences and engineering. https://doi.org/10.1007/978-3-319-40341-0

© Springer International Publishing Switzerland 2016. All rights reserved. This book presents the main concepts of linear algebra from the viewpoint of applied scientists such as computer scientists and engineers, without compromising on mathematical... Read More about Linear algebra for computational sciences and engineering.

Novel Methods for Microglia Segmentation, Feature Extraction, and Classification (2016)
Journal Article
Ding, Y., Pardon, M. C., Agostini, A., Faas, H., Duan, J., Ward, W. O., Easton, F., Auer, D. P., & Bai, L. (2016). Novel Methods for Microglia Segmentation, Feature Extraction, and Classification. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 14(6), 1366-1377. https://doi.org/10.1109/TCBB.2016.2591520

© 2017 IEEE. Segmentation and analysis of histological images provides a valuable tool to gain insight into the biology and function of microglial cells in health and disease. Common image segmentation methods are not suitable for inhomogeneous histo... Read More about Novel Methods for Microglia Segmentation, Feature Extraction, and Classification.

Reinforcement learning of normative monitoring intensities (2016)
Journal Article
Li, J., Meneguzzi, F., Fagundes, M., & Logan, B. (2016). Reinforcement learning of normative monitoring intensities. Lecture Notes in Artificial Intelligence, 9628, 209-223. https://doi.org/10.1007/978-3-319-42691-4_12

Choosing actions within norm-regulated environments involves balancing achieving one’s goals and coping with any penalties for non-compliant behaviour. This choice becomes more complicated in environments where there is uncertainty. In this paper, we... Read More about Reinforcement learning of normative monitoring intensities.

The future as a design problem (2016)
Journal Article
Reeves, S., Goulden, M., & Dingwall, R. (2016). The future as a design problem. Design Issues, 32(3), 6-17. https://doi.org/10.1162/DESI_a_00395

An often unacknowledged yet foundational problem for design is how ‘futures‘ are recruited for design practice. This problem saturates considerations of what could or should be designed. We distinguish two intertwined approaches to this: ‘pragmatic p... Read More about The future as a design problem.

A PBIL for load balancing in network coding based multicasting (2016)
Journal Article
Xing, H., Xu, Y., Qu, R., & Xu, L. (2016). A PBIL for load balancing in network coding based multicasting. Lecture Notes in Artificial Intelligence, 9787, 34-44. https://doi.org/10.1007/978-3-319-42108-7_3

One of the most important issues in multicast is how to achieve a balanced traffic load within a communications network. This paper formulates a load balancing optimization problem in the context of multicast with network coding and proposes a modifi... Read More about A PBIL for load balancing in network coding based multicasting.

Cross-system Recommendation: User-modelling via Social Media versus Self-Declared Preferences (2016)
Presentation / Conference Contribution
Alanazi, S., Goulding, J., & McAuley, D. (2016, July). Cross-system Recommendation: User-modelling via Social Media versus Self-Declared Preferences. Presented at HT '16: 27th ACM Conference on Hypertext and Social Media, Halifax, Nova Scotia, Canada

© 2016 ACM. It is increasingly rare to encounter aWeb service that doesn't engage in some form of automated recommendation, with Collaborative Filtering (CF) techniques being virtually ubiquitous as the means for delivering relevant content. Yet seve... Read More about Cross-system Recommendation: User-modelling via Social Media versus Self-Declared Preferences.

Constructions with Non-Recursive Higher Inductive Types (2016)
Presentation / Conference Contribution
Kraus, N. (2016, July). Constructions with Non-Recursive Higher Inductive Types. Presented at LICS '16: 31st Annual ACM/IEEE Symposium on Logic in Computer Science, New York NY USA

© 2016 ACM. Higher inductive types (HITs) in homotopy type theory are a powerful generalization of inductive types. Not only can they have ordinary constructors to define elements, but also higher constructors to define equalities (paths). We say tha... Read More about Constructions with Non-Recursive Higher Inductive Types.

CHAMP: Creating Heuristics via Many Parameters for online bin packing (2016)
Journal Article
Asta, S., Özcan, E., & Parkes, A. J. (2016). CHAMP: Creating Heuristics via Many Parameters for online bin packing. Expert Systems with Applications, 63, 208-221. https://doi.org/10.1016/j.eswa.2016.07.005

The online bin packing problem is a well-known bin packing variant which requires immediate decisions to be made for the placement of a lengthy sequence of arriving items of various sizes one at a time into fixed capacity bins without any overflow. T... Read More about CHAMP: Creating Heuristics via Many Parameters for online bin packing.

Parallel behavior composition for manufacturing (2016)
Presentation / Conference Contribution
Felli, P., Logan, B., & Sardina, S. Parallel behavior composition for manufacturing. Presented at 25th International Joint Conference on Artificial Intelligence

A key problem in the manufacture of highlycustomized products is the synthesis of controllers able to manufacture any instance of a given product type on a given production or assembly line. In this paper, we extend classical AI behavior composition... Read More about Parallel behavior composition for manufacturing.