Peter Lane

发表

Chunking mechanisms in human learning

J. Pine, F. Gobet, Peter Lane, 2001, Trends in Cognitive Sciences.

Same Difference: Detecting Collusion by Finding Unusual Shared Elements

A. Rainer, Peter Lane, P. Green, 2012 .

Demonstration of the Ferret Plagiarism Detector

C. Lyon, J. Malcolm, Peter Lane, 2006 .

The CHREST Architecture of Cognition: The Role of Perception in General Intelligence

F. Gobet, Peter Lane, 2010, AGI 2010.

CHREST + : Investigating How Humans Learn to Solve Problems Using Diagrams

Fernand Gobet, Peter C. R. Lane, Peter C.-H. Cheng, 2000 .

Simplification of genetic programs: a literature survey

F. Gobet, Peter Lane, Noman Javed, 2022, Data Mining and Knowledge Discovery.

Incremental Syntactic Parsing of Natural Language Corpora with Simple Synchrony Networks

James Henderson, Peter Lane, James Henderson, 2001, IEEE Trans. Knowl. Data Eng..

Towards Effective Parsing with Neural Networks: Inherent Generalisations and Bounded Resource Effects

James Henderson, Peter C. R. Lane, James Henderson, 2003, Applied Intelligence.

Analysing Psychological Data by Evolving Computational Models

Fernand Gobet, Peter C. R. Lane, Mark Addis, 2016, ECDA.

Attention mechanisms and component-based face detection

Neil Davey, Yi Sun, J. W. Han, 2009, 2009 Proceeding of International Conference on Methods and Models in Computer Science (ICM2CS).

Attention Mechanisms in the CHREST Cognitive Architecture

Fernand Gobet, Peter C. R. Lane, Richard Ll. Smith, 2009, WAPCV.

A theory-driven testing methodology for developing scientific software

Fernand Gobet, Peter C. R. Lane, F. Gobet, 2012, J. Exp. Theor. Artif. Intell..

Developing reproducible and comprehensible computational models

Fernand Gobet, Peter C. R. Lane, F. Gobet, 2003, Artif. Intell..

What's in a Name? The Multiple Meanings of “Chunk” and “Chunking”

Martyn Lloyd-Kelly, Peter C. R. Lane, Fernand Gobet, 2016, Front. Psychol..

Chunking mechanisms and learning

Fernand Gobet, Peter C. R. Lane, F. Gobet, 2012 .

Computational Scientific Discovery

Fernand Gobet, Mark Addis, Peter C. R. Lane, 2017 .

An investigation into the effect of ageing on expert memory with CHREST

Fernand Gobet, Peter C. R. Lane, R. L. Smith, 2007 .

Combining Low-Level Perception with Expectations in CHREST

Fernand Gobet, Peter C. R. Lane, A. K. Sykes, 2019, Proceedings of EuroCogSci 03.

What forms the chunks in a subject's performance? Lessons from the CHREST computational model of learning

Fernand Gobet, Peter C. R. Lane, Peter C.-H. Cheng, 2001, Behavioral and Brain Sciences.

On developing robust models for favourability analysis: Model choice, feature sets and imbalanced data

Daoud Clarke, Peter C. R. Lane, Paul Hender, 2012, Decis. Support Syst..

Developing Robust Models for Favourability Analysis

Daoud Clarke, Peter C. R. Lane, Paul Hender, 2011, WASSA@ACL.

Reproducibility and replicability of software defect prediction studies

Tracy Hall, Peter C. R. Lane, David Bowes, 2018, Inf. Softw. Technol..

Computational scientific discovery and cognitive science theories

Peter C. R. Lane, Mark Addis, Peter D. Sozou, 2016 .

Using Chunks to Categorise Chess Positions

Fernand Gobet, Peter C. R. Lane, F. Gobet, 2012, SGAI Conf..

What is the Impact of Imbalance on Software Defect Prediction Performance?

Tracy Hall, Peter C. R. Lane, David Bowes, 2015, PROMISE.

Selecting Features in Origin Analysis

Austen Rainer, Sven-Bodo Scholz, Peter C. R. Lane, 2010, SGAI Conf..

Evolving Non-Dominated Parameter Sets for Computational Models from Multiple Experiments

Fernand Gobet, Peter C. R. Lane, F. Gobet, 2013, J. Artif. Gen. Intell..

A distributed framework for semi-automatically developing architectures of brain and mind

Fernand Gobet, Peter C. R. Lane, F. Gobet, 2005 .

The Effects of Bounding Rationality on the Performance and Learning of CHREST Agents in Tileworld

Fernand Gobet, Martyn Lloyd-Kelly, Peter C. R. Lane, 2014, SGAI Conf..

Chunks, Schemata, and Retrieval Structures: Past and Current Computational Models

Martyn Lloyd-Kelly, Peter C. R. Lane, Fernand Gobet, 2015, Front. Psychol..

A Connectionist Architecture for Learning to Parse

James Henderson, Peter Lane, James Henderson, 1998, ACL.

Evolving process-based models from psychological data using genetic programming

Fernand Gobet, Mark Addison, Peter C. R. Lane, 2014 .

Feature weighting as a tool for unsupervised feature selection

Renato Cordeiro de Amorim, Peter Lane, Deepak Panday, 2018, Inf. Process. Lett..

Analysis of Local Search Landscapes for k-SAT Instances

Kathleen Steinhöfel, Andreas Alexander Albrecht, Peter C. R. Lane, 2010, Math. Comput. Sci..

Combinatorial landscape analysis for k-SAT instances

Kathleen Steinhöfel, Andreas Alexander Albrecht, Peter C. R. Lane, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Estimating the Number of Local Maxima for k-SAT Instances

Kathleen Steinhöfel, Andreas Alexander Albrecht, Peter C. R. Lane, 2008, ISAIM.

A Methodology for Developing Computational Implementations of Scientific Theories

Fernand Gobet, Peter C. R. Lane, F. Gobet, 2008, Tenth International Conference on Computer Modeling and Simulation (uksim 2008).

Discovering Predictive Variables When Evolving Cognitive Models

Fernand Gobet, Peter C. R. Lane, F. Gobet, 2005, ICAPR.

Copy detection in Chinese documents using Ferret

Peter C. R. Lane, Caroline Lyon, Jun Peng Bao, 2007, Lang. Resour. Evaluation.

Perception in chess and beyond : commentary on Linhares and Freitas (2010)

Fernand Gobet, Peter C. R. Lane, F. Gobet, 2011 .

A Question of Balance - The Benefits of Pattern-Recognition When Solving Problems in a Complex Domain

Fernand Gobet, Martyn Lloyd-Kelly, Peter C. R. Lane, 2015, Trans. Comput. Collect. Intell..

Simple Synchrony Networks: Learning Generalisations across Syntactic Constituents

Peter Lane, Peter Lane, 1998, European Conference on Artificial Intelligence.