The Learning Of Reactive Control Parameters Through Genetic Algorithms. - Michael Pearce; Ronald C. Arkin; Ashwin Ram 001 (IROS, 1992)

Case-Based Design Support: A Case Study in Architectural Design - Michael Pearce; Ashok K. Goel 001; Janet L. Kolodner; Craig Zimring; Lucas Sentosa; Richard Billington (IEEE Expert, 1992)

The System is the Expert: Architecture for a Model-Based Tutor. - Michael Pearce (HCI (2), 1993)

Using Genetic Algorithms to Learn Reactive Control Parameters for Autonomous Robotic Navigation. - Ashwin Ram 001; Gary Boone; Ronald C. Arkin; Michael Pearce (Adapt. Behav., 1994)

IEEE Internet Computing: Industry Report - Adapting Content for Wireless Web Services. - Ariel Pashtan; Shriram Kollipara; Michael Pearce (IEEE Distributed Syst. Online, 2003)

Adapting Content for Wireless Web Services. - Ariel Pashtan; Shriram Kollipara; Michael Pearce (IEEE Internet Comput., 2003)

Appbus: providing short term memory for mobile devices. - Craig Janssen; Michael Pearce; Shriram Kollipara (CCNC, 2006)

AppBus: Mobile Device Application Collaboration via Short Term Memory. - Craig Janssen; Michael Pearce; Shriram Kollipara; Nitya Narasimhan (J. Softw., 2006)

Cache & Carry: Seamless Content Consumption in an Intermittently Connected World. - Michael Pearce; Rohit Chaudhri; Jay Almaula; Venu Vasudevan (CCNC, 2007)

A Lightweight Remote Display Management Protocol for Mobile Devices. - Michael Pearce; Nitya Narasimhan; Craig Janssen; Yibing Song (CCNC, 2007)

Verifiable Credit Based Transfers in Wireless Ad Hoc Networks. - Bogdan Carbunar; Brett Lindsley; Michael Pearce; Venu Vasudevan (IPDPS, 2007)

Byzantine resilient synchronization for content and presence updates in MANETS. - Bogdan Carbunar; Michael Pearce; Shivajit Mohapatra; Loren J. Rittle; Venu Vasudevan (ICNP, 2008)

Remote AppBus - Enabling Seamless Access to Short Term Memory on Mobile Devices. - Nitya Narasimhan; Craig Janssen; Michael Pearce (CCNC, 2009)

Assessing and Improving Authentication Confidence Management. - Michael Pearce; Sherali Zeadally; Ray Hunt (Inf. Manag. Comput. Secur., 2010)

Query privacy in wireless sensor networks. - Bogdan Carbunar; Yang Yu 009; Weidong Shi; Michael Pearce; Venu Vasudevan (ACM Trans. Sens. Networks, 2010)

Secure Synchronization of Periodic Updates in Ad Hoc Networks. - Bogdan Carbunar; Michael Pearce; Shivajit Mohapatra; Loren J. Rittle; Venu Vasudevan; Octavian Carbunar (IEEE Trans. Parallel Distributed Syst., 2010)

Predictive Caching for Video on Demand CDNs. - Bogdan Carbunar; Michael Pearce; Venu Vasudevan; Michael L. Needham (GLOBECOM, 2011)

Network Aware Caching for Video on Demand systems. - Bogdan Carbunar; Rahul Potharaju; Michael Pearce; Venu Vasudevan (WOWMOM, 2012)

Digital Visualisation and Design Development in Historic Building Projects. - Vajira Premadasa; Michael Pearce (EVA, 2013)

Virtualization: Issues, security threats, and solutions. - Michael Pearce; Sherali Zeadally; Ray Hunt (ACM Comput. Surv., 2013)

A framework for network aware caching for video on demand systems. - Bogdan Carbunar; Rahul Potharaju; Michael Pearce; Venu Vasudevan; Michael L. Needham (ACM Trans. Multim. Comput. Commun. Appl., 2013)

Errata for: A Framework for Network Aware Caching for Video on Demand Systems. - Bogdan Carbunar; Rahul Potharaju; Michael Pearce; Venugopal Vasudevan; Michael L. Needham (ACM Trans. Multim. Comput. Commun. Appl., 2014)

Acquisition functions for simultaneous Bayesian optimisation of multiple problems. - Michael Pearce (WSC, 2017)

Efficient expected improvement estimation for continuous multiple ranking and selection. - Michael Pearce; Jürgen Branke (WSC, 2017)

Bayesian simulation optimization with input uncertainty. - Michael Pearce; Jürgen Branke (WSC, 2017)

On Parallelizing Multi-Task Bayesian Optimization. - Matthew J. Groves; Michael Pearce; Jürgen Branke (WSC, 2018)

Continuous multi-task Bayesian Optimisation with correlation. - Michael Pearce; Jürgen Branke (Eur. J. Oper. Res., 2018)

The Gaussian Process Prior VAE for Interpretable Latent Dynamics from Pixels. - Michael Pearce (AABI, 2019)

Scalable Global Optimization via Local Bayesian Optimization. - David Eriksson; Michael Pearce; Jacob R. Gardner; Ryan Turner; Matthias Poloczek (NeurIPS, 2019)

Bayesian Simulation Optimization with Common Random Numbers. - Michael Pearce; Matthias Poloczek; Jürgen Branke (WSC, 2019)

ConBO: Conditional Bayesian Optimization. - Michael Pearce; Janis Klaise; Matthew J. Groves (CoRR, 2020)

Sparse Gaussian Process Variational Autoencoders. - Matthew Ashman; Jonathan So; William Tebbutt; Vincent Fortuin; Michael Pearce; Richard E. Turner (CoRR, 2020)

Scalable Gaussian Process Variational Autoencoders. - Metod Jazbec; Vincent Fortuin; Michael Pearce; Stephan Mandt; Gunnar Rätsch (CoRR, 2020)

Factorized Gaussian Process Variational Autoencoders. - Metod Jazbec; Michael Pearce; Vincent Fortuin (CoRR, 2020)

Scalable Gaussian Process Variational Autoencoders. - Metod Jazbec; Matthew Ashman; Vincent Fortuin; Michael Pearce; Stephan Mandt; Gunnar Rätsch (AISTATS, 2021)

Multi-objective path planning for environmental monitoring using an autonomous surface vehicle. - Federico Peralta; Michael Pearce; Matthias Poloczek; Daniel Gutiérrez-Reina; Sergio Toral; Jürgen Branke (GECCO Companion, 2022)

Efficient computation of the Knowledge Gradient for Bayesian Optimization. - Juan Ungredda; Michael Pearce; Jürgen Branke (CoRR, 2022)

A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review. - Michael Pearce; Elena A. Erosheva (J. Mach. Learn. Res., 2022)

Bayesian Optimisation vs. Input Uncertainty Reduction. - Juan Ungredda; Michael Pearce; Jürgen Branke (ACM Trans. Model. Comput. Simul., 2022)

Bayesian Optimization Allowing for Common Random Numbers. - Michael Pearce; Matthias Poloczek; Jürgen Branke (Oper. Res., 2022)