Rod Adams
University of Hertfordshire
153 Papers
681 Citations
Rod Adams is an academic researcher from University of Hertfordshire. The author has contributed to research in topics: Artificial neural network & Content-addressable memory. The author has an hindex of 20, co-authored 153 publications. Previous affiliations of Rod Adams include The Hertz Corporation & University of Texas at Dallas.
Chat about Author
Papers
Textual Entailment Through Extended Lexical Overlap and Lexico-Semantic Matching
Rod Adams,Gabriel Nicolae,Cristina Nicolae,Sanda M. Harabagiu +3 more
- 28 Jun 2007
TL;DR: This paper presents two systems for textual entailment, both employing decision trees as a supervised learning algorithm based primarily on the concept of lexical overlap, and a lexico-semantic matching between the text and the hypothesis.
56
Photometric redshift estimation using Gaussian processes
D. G. Bonfield,Yi Sun,Neil Davey,Matt J. Jarvis,Filipe B. Abdalla,Manda Banerji,Manda Banerji,Rod Adams +7 more
TL;DR: The definitive article can be found at: http://www3.interscience.wiley.com/ Copyright Royal Astronomical Society (RAS) as discussed by the authors, 2017. All rights reserved.
High capacity recurrent associative memories
TL;DR: Various algorithms for constructing weight matrices for Hopfield-type associative memories are reviewed, including ones with much higher capacity than the basic model and their ability to correct corrupted versions of the training patterns is investigated.
43
HARP: a parallel pipelined RISC processor
G.B. Steven,S.M. Gray,Rod Adams +2 more
TL;DR: This paper describes the HARP architectural model and discusses those features which support parallel instruction execution and examples are given which illustrate the effectiveness of these techniques in increasing the performance of HARP.
39
The application and limitations of mathematical modelling in the prediction of permeability across mammalian skin and polydimethylsiloxane membranes.
Gary P. Moss,Yi Sun,Simon Wilkinson,Neil Davey,Rod Adams,Gary P. Martin,M Prapopopolou,Marc B. Brown +7 more
TL;DR: The aims of this study were to apply and evaluate Gaussian process (GP) regression methods to datasets for membranes other than human skin, and to explore how the nature of the dataset may influence its analysis.
39