Peter Lane

Emailp.c.laneherts.acuk

Research activity per year

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Research interests

Cognitive architectures: I develop the CHREST model of human learning and perceptual expertise.
Data mining: algorithms and applications in text and image analysis.
Methodology: techniques and tools to aid in the development of scientific models and software.

Overview

Peter Lane has degrees in Mathematics and Computer Science. His research interests cover many aspects of machine learning and its applications, including the simulation of human learning. His early work looked at connectionist models of natural-language learning. More recently, he has worked on the CHREST cognitive architecture of human perception and learning. His current project uses genetic programming to develop cognitive models from psychological data.

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1 Similar Profiles

1 Active
5 Finished

GEMS: Genetically Evolving Models in Science
Gobet, F. & Lane, P.
1/09/19 → 31/08/24
Project: Research
Rapid bacteria colony counting algorithm development
Helian, N., Sun, Y., Lane, P. & Veneziano, V.
1/03/19 → 28/02/23
Project: Other
Automatically generating scientific theories
Lane, P.
UKRI - Economic and Social Research Council (ESRC)
1/09/13 → 1/02/15
Project: Research
sKTP - Aquaforest +C49. OCR and image analysis.
Lane, P. & Rainer, A.
Technology Strategy Board
1/03/10 → 31/12/10
Project: Other
KTP - Portfolio Metrica. To develop an automated media analysis system based on 'machine learning' to address the increasingly diverse expansion of publications and online social media
Lane, P. & Rainer, A.
Technology Strategy Board
1/09/09 → 30/11/11
Project: Research

24 Article
14 Conference contribution
10 Chapter (peer-reviewed)
5 Other report
More

Proceedings of Abstracts, School of Physics, Engineering and Computer Science Research Conference 2022
Coudron, L. (ed.), Amafabia, D., Asimea, L., Bally, J., Baran, A., Boies, A., Borjali, A., Bosomworth, C., Burningham, B., Chaliasou, N-A., CHEN, Y. K., Cheong, Y. K., Chizari, M., Chung, E., Coppin, K., David-West, O., Dennler, N., Dhakal, H., Dimov, N., Dmitruk, E., & 98 othersDonald, A., Drix, D., Dzib, S. A., Eltaweel, M., Fadlelseed, S., Farahani, A., Felix, A., Foat, T., Forbrich, J., Franco, M., Gaarn, J., Garratt, T., Geach, J., Ghias, N., Ghita, A., Giannetti, N., Vargas-Gonzalez, J., Greenaway, R., Haritos, G., Hatami, S., Haydock, D., Helian, N., Herfatmanesh, M. R., Herve, J-B., Hesse, E., Korani, H., Hosseini, V., Hu, W., Hubbard, T., Inal, J., Irigo, P., Ismail, S. O., Jepleting, F., Ji, W., Johnston, I., Jombo, G., Kadir, S., Kalyvas, C., Kamran, S. M., Kanellopoulos, A., Kiflay, A. Z., Kirner, R., Knox, K., Kobayashi, C., Kumar, D., Kumar, R., Lane, P., Lekkala, H., Lewis, A., Li, L., Luo, Q., Madani, H., Mallet, C., Maruthupandian, S., Mathen, E. R., Matousek, P., McCool, S., McGarry, J. C., Menon, C., Metzner, C., Miles, R. E. H., Moeinnia, H., Moggridge, P., Mohseni, M., Montalvão, D., Moraby, M. N., Murnane, D., Norgate, M., Nourani, A., Prasad, K. S., Ramalingam, S., Rastogi, S., Reid, J. P., Ren, G., Rivilla, V. M., Saidpour, H., Saito, K., Sajedi, S. A. H., Salge, C., Samararatne, S., Schmuker, M., Sensoy, E., Shriram, A., Singh, H., Sorouraddin, Y., Steuber, V., Stone, N., Sun, Y., Sureddi, R., Sutton, S., Thomas, P., Timms, A. R., Tiwari, P. R., Tsokanos, A., Vadalia, M., Yaqoob, M., Yulianto, M. & Zheng, M., 4 Nov 2022, University of Hertfordshire. 128 p.
Research output: Book/Report › Anthology

Open Access
File
74 Downloads (Pure)
Simplification of genetic programs: A literature survey
Javed, N., Gobet, F. & Lane, P., 27 Apr 2022, In: Data Mining and Knowledge Discovery. 22 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
3 Downloads (Pure)
Dynamic Hierarchical Structure Optimisation for Cloud Computing Job Scheduling
Lane, P., Helian, N., Bodla, M. H., Zheng, M. & Moggridge, P., 15 Apr 2022, Dynamic Hierarchical Structure Optimisation for Cloud Computing Job Scheduling. Springer Nature, p. 301-316 16 p. (Part of the Lecture Notes in Computer Science book series; vol. 13224).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Downloads (Pure)
Evolving Understandable Cognitive Models
Lane, P., Bartlett, L., Javed, N., Pirrone, A. & Gobet, F., 2022. 7 p.
Research output: Contribution to conference › Paper › peer-review

Open Access
File
58 Downloads (Pure)
Forming Concepts of Mozart and Homer Using Short-Term and Long-Term Memory: A Computational Model Based on Chunking
Bennett, D., Gobet, F. & Lane, P., 1 Aug 2020, p. 178-184. 7 p.
Research output: Contribution to conference › Paper › peer-review

Open Access
File
57 Downloads (Pure)

Dr Peter Lane

Personal profile

Research interests

Overview

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

GEMS: Genetically Evolving Models in Science

Rapid bacteria colony counting algorithm development

Automatically generating scientific theories

sKTP - Aquaforest +C49. OCR and image analysis.

KTP - Portfolio Metrica. To develop an automated media analysis system based on 'machine learning' to address the increasingly diverse expansion of publications and online social media

Proceedings of Abstracts, School of Physics, Engineering and Computer Science Research Conference 2022

Simplification of genetic programs: A literature survey

Dynamic Hierarchical Structure Optimisation for Cloud Computing Job Scheduling

Evolving Understandable Cognitive Models

Forming Concepts of Mozart and Homer Using Short-Term and Long-Term Memory: A Computational Model Based on Chunking

Dr Peter Lane

Personal profile

Research interests

Overview

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output