Mike Tipping
homepage:http://www.research.microsoft.com/mlp/RVM/
search externally:   Google Scholar,   Springer,   CiteSeer,   Microsoft Academic Search,   Scirus ,   DBlife

Description

Dr Mike Tipping works for Vector Anomaly, a statistical consultancy which he set up in 2006 along with Mark Hatton. He was previously a researcher with Microsoft Research, Cambridge, UK.  His research interests mainly centre on the theory and application of probabilistic models for machine learning and statistical pattern recognition, emphasising the use of Bayesian inference. He has worked on applications of these to handwriting recognition, bioinformatics, information retrieval, image processing and interactive entertainment.  


Lectures:

lecture
flag Bayesian methods for data Modelling
as author at  EPSRC Winter School in Mathematics for Data Modelling, Sheffield 2008,
11334 views
  lecture
flag Bayesian Inference: Principles and Practice
as author at  Machine Learning Summer School (MLSS), Tübingen 2003,
26778 views