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I J Cannings

4/14/2022by admin
CONSTRUCTION DIRECTORY
  1. I J Cannings
  2. I J Cannings

Cannings are a professional friendly organisation known for our commitment to electrical engineering excellence. Our objective is to provide value for money. We are experienced in working in all types of buildings and environments, often in occupied areas and to time-critical programmes. We cover every aspect of commercial electrical work both large and small, we offer our clients an individual service. LJ and CA Cannings of Challow - Agricultural Equipment. We provide the full range of new agricultural equipment, combined with a constantly changing second-hand stock, including the manufacturers below.

Exeter
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I J Cannings & Son Ltd Serves The Following Areas

Building Services Sponsored Companies
  • Plastering
  • Roofing
  • Brickwork
  • Carpentry
  • Flooring
  • Wall tiles
  • Landscape gardening
  • Structural repairs
  • Extensions
  • Loft conversions & Refurbs
  • Handy man jobs
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Thomastown, Kilcullen
Tritec Building Contractors
Unit 26, Charfleets way, Charfleets Ind Estate, SS8 0PG
Forefront Contractors Ltd
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JAR Architecture Ltd
9 Castle Street, Conwy Town, LL32 8AY
Alternative Heat
Unit 18-19 Scarva Road Industrial Estate, Scarva Road, Banbridge, BT32 3QD
Able Ceilings & Decorating
8 Woodhall Road, Chelmsford, CM1 4AA
Fairview Construction Team Ltd
245 Liverpool Road, London, N1 1LX
Jamber Management
8 Russell Close, Sittingbourne, ME10 1RT
McLaughlin & Woods Ltd
78 Laurelgrove Dale, Belfast, BT8 6ZF
AD Carpentry & Installations
Unit 10 Old BRS Yard, Alltycnap road, Johnstown, SA31 3NB
Efco UK Ltd
22-28 Meadow Close, Ise Valley Industrial Estate, Wellingborough, NN8 4BH
Geo Therm Limited
Riverside Business Centre, Riverside Road Lowestoft, Lowestoft, NR33 0TQ
Cavilock Ltd
Cheltenham Buisness Point, 1st & 2nd Floor Office Suite, 105-107 Bth Road, Cheltenham, GL53 7LE
24hr Solutions Limited
Faulkner House, Victoria Street, St. Albans, AL1 3SE
Trenchless Technology Ltd
44 Wellesbourne Crescent, High Wycombe, HP13 5HF
Cannings
ADI Leak Detection
Unit 1, 44 Wellesbourne Crescent, High Wycombe, Buckinghamshire, HP13 5HF
GBG Building Services Ltd
59 Hodder Drive, London, UB6 8LL
Nustone Products Ltd
Spaces Office 07, The Maylands Building, Maylands Avenue, HP2 7TG
All Regions Glazing
2B Miller Road, Bedford, MK42 9NY
Alarms Are Us Ltd
Works Offices Centennial Park, Centennial Ave, Elstree, WD6 3SB
Morris & Spottiswood Ltd
54 Helen Street, Glasgow, G51 3HQ
More Than Loft Ladders
2 Riversleigh Close, Bolton, BL1 7QA
C and L External
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Newmarket Paint Co Ltd
Unit 5/Studlands Business Centre, Studlands Pk Avenue, Newmarket, CB87SS
Encon Insulation & Nevill Long
Unit 4 Chittening Industrial Estate, Bristol, BS11 0YB
Encon Insulation & Nevill Long
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Encon Insulation & Nevill Long
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Acoustitherm Ltd
Palstone Park, Palstone Lane, South Brent, TQ10 9JR
ABC Structures4u
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MEH Builders and Joiners
Units 2-3 Easter Langlee Industrial Estate, Galashiels, TD1 2UH


I am a lecturer in statistics and data science at the School of Mathematics, University of Edinburgh. I completed my PhD with Prof Richard Samworth in the Statistical Laboratory at the University of Cambridge in 2015. I then worked with Prof Yingying Fan as a Postdoc at the University of Southern California.

I J Cannings


Research interests


• Statistical learning: classification and clustering

• High-dimensional data: data perturbation techniques, random projections

• Incomplete data: semi-supervised problems, noisy data, transfer learning

• Applications in genomics


Publications and Preprints


Cannings, T. I. and Fan, Y. (2020) The correlation-assisted missing data estimator. Preprint. (.pdf).

Cannings, T. I. (2021) Random projections: Data perturbation for classification problems. WIREs Computational Statistics, 13, DOI: 10.1002/wics.1449.

Cannings, T. I., Fan, Y. and Samworth, R. J. (2020) Classification with imperfect training labels. Biometrika, 107, 311-330. (.pdf).

Cannings, T. I., Berrett, T. B. and Samworth, R. J. (2020) Local nearest neighbour classification with applications to semi-supervised learning. Ann. Statist., 48, 1789-1814. (.pdf).

Dubourg-Felonneau, G., Cannings, T. I., Cotter, F., Thompson, H., Patel, N., Cassidy, J. W. and Clifford, H. W. (2018) A framework for implementing machine learning on Omics data. NeurIPS ML4H workshop (.pdf).

I j cannings

I J Cannings

Cannings, T. I. and Samworth, R. J. (2017) Random projection ensemble classification. J. Roy. Statist. Soc., Ser. B (with discussion), 79 , 959-1035. (.pdf). The accompanying R package RPEnsemble is available from CRAN.

Cannings, T. I. (2015) New Approaches to Modern Statistical Classification Problems. PhD thesis (.pdf).

Cannings, T. I. (2013) Nearest neighbour classification in the tails of a distribution. (.pdf)


Some other interesting things

I J Cannings


• The Centre for Statistics

• Maxwell Institute for Mathematical Sciences

• Cambridge Cancer Genomics

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