Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Churchill, Alexander"'
Autor:
Wagner, Dominik, Churchill, Alexander, Sigtia, Siddharth, Georgiou, Panayiotis, Mirsamadi, Matt, Mishra, Aarshee, Marchi, Erik
Interactions with virtual assistants typically start with a predefined trigger phrase followed by the user command. To make interactions with the assistant more intuitive, we explore whether it is feasible to drop the requirement that users must begi
Externí odkaz:
http://arxiv.org/abs/2403.14438
Multimodal Data and Resource Efficient Device-Directed Speech Detection with Large Foundation Models
Autor:
Wagner, Dominik, Churchill, Alexander, Sigtia, Siddharth, Georgiou, Panayiotis, Mirsamadi, Matt, Mishra, Aarshee, Marchi, Erik
Interactions with virtual assistants typically start with a trigger phrase followed by a command. In this work, we explore the possibility of making these interactions more natural by eliminating the need for a trigger phrase. Our goal is to determin
Externí odkaz:
http://arxiv.org/abs/2312.03632
This thesis concerns the use of Evolutionary Computation to optimise the sequence and selection of tools and machining parameters in rough milling applications. These processes are not automated in current Computer-Aided Manufacturing (CAM) software
Externí odkaz:
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606076
Neural networks and evolutionary computation have a rich intertwined history. They most commonly appear together when an evolutionary algorithm optimises the parameters and topology of a neural network for reinforcement learning problems, or when a n
Externí odkaz:
http://arxiv.org/abs/1604.04153
An algorithm is described that adaptively learns a non-linear mutation distribution. It works by training a denoising autoencoder (DA) online at each generation of a genetic algorithm to reconstruct a slowly decaying memory of the best genotypes so f
Externí odkaz:
http://arxiv.org/abs/1404.1614
Publikováno v:
2013 IEEE Congress on Evolutionary Computation; 2013, p2924-2931, 8p
Publikováno v:
2013 IEEE Congress on Evolutionary Computation; 2013, p1475-1482, 8p
Publikováno v:
Evolutionary Multi-Criterion Optimization (9783642371394); 2013, p600-614, 15p
Publikováno v:
Biomimetic & Biohybrid Systems; 2013, p83-95, 13p