John Shawe Taylor


Ontology type: schema:Person     


Person Info

NAME

John

SURNAME

Shawe Taylor

Publications in SciGraph latest 50 shown

  • 2018 Probabilistic Map-Matching for Low-Frequency GPS Trajectories in DYNAMICS IN GISCIENCE
  • 2017-12 The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation in IMPLEMENTATION SCIENCE
  • 2017-06 High-probability minimax probability machines in MACHINE LEARNING
  • 2016 Leveraging Clinical Data to Enhance Localization of Brain Atrophy in MACHINE LEARNING AND INTERPRETATION IN NEUROIMAGING
  • 2015-12 Computational analysis of stochastic heterogeneity in PCR amplification efficiency revealed by single molecule barcoding in SCIENTIFIC REPORTS
  • 2014 Retrieval of Experiments by Efficient Comparison of Marginal Likelihoods in NEURAL INFORMATION PROCESSING
  • 2013-08 Multiple Kernel Learning with Fisher Kernels for High Frequency Currency Prediction in COMPUTATIONAL ECONOMICS
  • 2012 A New Feature Selection Method Based on Stability Theory – Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data in MACHINE LEARNING AND INTERPRETATION IN NEUROIMAGING
  • 2011-06 Sparse canonical correlation analysis in MACHINE LEARNING
  • 2010-10 A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems in JOURNAL OF SIGNAL PROCESSING SYSTEMS
  • 2010-06 A kernel regression framework for SMT in MACHINE TRANSLATION
  • 2010-05 Decomposing the tensor kernel support vector machine for neuroscience data with structured labels in MACHINE LEARNING
  • 2010 Distribution-Dependent PAC-Bayes Priors in ALGORITHMIC LEARNING THEORY
  • 2010 Data Dependent Priors in PAC-Bayes Bounds in PROCEEDINGS OF COMPSTAT'2010
  • 2010 Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2010 Constructing Nonlinear Discriminants from Multiple Data Views in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2009-10-15 Prediction with the SVM Using Test Point Margins in DATA MINING
  • 2009-10 Can eyes reveal interest? Implicit queries from gaze patterns in USER MODELING AND USER-ADAPTED INTERACTION
  • 2009-10 Guest editors’ introduction: special issue of selected papers from ECML PKDD 2009 in DATA MINING AND KNOWLEDGE DISCOVERY
  • 2009-09 Guest editors’ introduction: Special Issue from ECML PKDD 2009 in MACHINE LEARNING
  • 2009-01 Convergence analysis of kernel Canonical Correlation Analysis: theory and practice in MACHINE LEARNING
  • 2008 Using Image Stimuli to Drive fMRI Analysis in NEURAL INFORMATION PROCESSING
  • 2008 Using Generalization Error Bounds to Train the Set Covering Machine in NEURAL INFORMATION PROCESSING
  • 2006-09 Using KCCA for Japanese–English cross-language information retrieval and document classification in JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
  • 2006 The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces in MACHINE LEARNING: ECML 2006
  • 2006 On Kernel Target Alignment in INNOVATIONS IN MACHINE LEARNING
  • 2006 A Correlation Approach for Automatic Image Annotation in ADVANCED DATA MINING AND APPLICATIONS
  • 2006 Constant Rate Approximate Maximum Margin Algorithms in MACHINE LEARNING: ECML 2006
  • 2005-05 PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification in MACHINE LEARNING
  • 2005 Mixture of Vector Experts in ALGORITHMIC LEARNING THEORY
  • 2005 Support Vector Machine to Synthesise Kernels in DETERMINISTIC AND STATISTICAL METHODS IN MACHINE LEARNING
  • 2005 Analysis of Generic Perceptron-Like Large Margin Classifiers in MACHINE LEARNING: ECML 2005
  • 2004 Texture Classification by Combining Wavelet and Contourlet Features in STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION
  • 2004 Complexity of Pattern Classes and Lipschitz Property in ALGORITHMIC LEARNING THEORY
  • 2004 Using String Kernels to Identify Famous Performers from Their Playing Style in MACHINE LEARNING: ECML 2004
  • 2003 Reducing Kernel Matrix Diagonal Dominance Using Semi-definite Programming in LEARNING THEORY AND KERNEL MACHINES
  • 2003 Support Vector and Kernel Methods in INTELLIGENT DATA ANALYSIS
  • 2003 When Is Small Beautiful? in LEARNING THEORY AND KERNEL MACHINES
  • 2002-11-08 On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum in ALGORITHMIC LEARNING THEORY
  • 2002-05-27 Boosting the Margin Distribution in INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING — IDEAL 2000. DATA MINING, FINANCIAL ENGINEERING, AND INTELLIGENT AGENTS
  • 2002-03 Latent Semantic Kernels in JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
  • 2002 On the Eigenspectrum of the Gram Matrix and Its Relationship to the Operator Eigenspectrum in DISCOVERY SCIENCE
  • 2002-01 Linear Programming Boosting via Column Generation in MACHINE LEARNING
  • 2001 Ants and Graph Coloring in ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS
  • 2001 Graph Colouring by Maximal Evidence Edge Adding in PRACTICE AND THEORY OF AUTOMATED TIMETABLING III
  • 2000-12 Enlarging the Margins in Perceptron Decision Trees in MACHINE LEARNING
  • 1999-06 Introducing the Special Issue of Machine Learning Selected from Papers Presented at the 1997 Conference on Computational Learning Theory, COLT '97 in MACHINE LEARNING
  • 1999 Margin Distribution Bounds on Generalization in COMPUTATIONAL LEARNING THEORY
  • 1999 Generalization Performance of Classifiers in Terms of Observed Covering Numbers in COMPUTATIONAL LEARNING THEORY
  • 1998-09 Classification Accuracy Based on Observed Margin in ALGORITHMICA
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