Zobrazeno 1 - 10
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pro vyhledávání: '"Bosman, Anna"'
Publikováno v:
Pienaar, J.J., Boman, A.S., Malan, K.M. (2024). Hilbert Curves for Efficient Exploratory Landscape Analysis Neighbourhood Sampling. In: EvoApplications 2024. Lecture Notes in Computer Science, vol 14635
Landscape analysis aims to characterise optimisation problems based on their objective (or fitness) function landscape properties. The problem search space is typically sampled, and various landscape features are estimated based on the samples. One p
Externí odkaz:
http://arxiv.org/abs/2408.00526
Artificial neural network (NN) architecture design is a nontrivial and time-consuming task that often requires a high level of human expertise. Neural architecture search (NAS) serves to automate the design of NN architectures and has proven to be su
Externí odkaz:
http://arxiv.org/abs/2403.11173
Continual learning is the sequential learning of different tasks by a machine learning model. Continual learning is known to be hindered by catastrophic interference or forgetting, i.e. rapid unlearning of earlier learned tasks when new tasks are lea
Externí odkaz:
http://arxiv.org/abs/2402.08255
Activation functions play a significant role in neural network design by enabling non-linearity. The choice of activation function was previously shown to influence the properties of the resulting loss landscape. Understanding the relationship betwee
Externí odkaz:
http://arxiv.org/abs/2306.16090
Flexible road pavements deteriorate primarily due to traffic and adverse environmental conditions. Cracking is the most common deterioration mechanism; the surveying thereof is typically conducted manually using internationally defined classification
Externí odkaz:
http://arxiv.org/abs/2304.02933
The process of training feedforward neural networks (FFNNs) can benefit from an automated process where the best heuristic to train the network is sought out automatically by means of a high-level probabilistic-based heuristic. This research introduc
Externí odkaz:
http://arxiv.org/abs/2303.16912
Autor:
Panagiotou, Savvas, Bosman, Anna S.
Low-light image enhancement (LLIE) techniques attempt to increase the visibility of images captured in low-light scenarios. However, as a result of enhancement, a variety of image degradations such as noise and color bias are revealed. Furthermore, e
Externí odkaz:
http://arxiv.org/abs/2303.09627
Ongoing progress in computational intelligence (CI) has led to an increased desire to apply CI techniques for the purpose of improving software engineering processes, particularly software testing. Existing state-of-the-art automated software testing
Externí odkaz:
http://arxiv.org/abs/2302.07646
In supervised machine learning, the choice of loss function implicitly assumes a particular noise distribution over the data. For example, the frequently used mean squared error (MSE) loss assumes a Gaussian noise distribution. The choice of loss fun
Externí odkaz:
http://arxiv.org/abs/2302.07238
Algorithmic music composition is a way of composing musical pieces with minimal to no human intervention. While recurrent neural networks are traditionally applied to many sequence-to-sequence prediction tasks, including successful implementations of
Externí odkaz:
http://arxiv.org/abs/2211.00731