Huma Lodhi - researchr alias

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Viewing Publication 1 - 18 from 18

2013

Deep Relational MachinesHuma Lodhi. iconip 2013: 212-219 [doi]

2011

Bootstrapping Parameter Estimation in Dynamic SystemsHuma Lodhi, David Gilbert. dis 2011: 194-208 [doi]

2009

Multi-class protein fold recognition using large margin logic based divide and conquer learningHuma Lodhi, Stephen Muggleton, Michael J. E. Sternberg. kdd 2009: 22-26 [doi]

Learning Large Margin First Order Decision Lists for Multi-Class ClassificationHuma Lodhi, Stephen Muggleton, Michael J. E. Sternberg. dis 2009: 168-183 [doi]

Multi-Class protein fold recognition using large margin logic based divide and conquer learningHuma Lodhi, Stephen Muggleton, Michael J. E. Sternberg. sigkdd, 11(2):117-122, 2009. [doi]

2008

On Bias-Variance Analysis for Probabilistic Logic ModelsHuma Lodhi. jitr, 1(3):27-40, 2008. [doi]

2007

A Novel Logic-Based Approach for Quantitative Toxicology PredictionAta Amini, Stephen H. Muggleton, Huma Lodhi, Michael J. E. Sternberg. jcisd, 47(3):998-1006, 2007. [doi]

2005

Computing Confidence Measures in Stochastic Logic ProgramsHuma Lodhi, Stephen Muggleton. micai 2005: 890-899 [doi]

Support Vector Inductive Logic ProgrammingStephen Muggleton, Huma Lodhi, Ata Amini, Michael J. E. Sternberg. dis 2005: 163-175 [doi]

2004

Modelling Metabolic Pathways Using Stochastic Logic Programs-Based Ensemble MethodsHuma Lodhi, Stephen Muggleton. cmsb 2005: 119-133 [doi]

2002

2001

Latent Semantic KernelsNello Cristianini, John Shawe-Taylor, Huma Lodhi. icml 2001: 66-73

2000

Text Classification using String KernelsHuma Lodhi, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins. nips 2001: 563-569

Boosting the Margin DistributionHuma Lodhi, Grigoris J. Karakoulas, John Shawe-Taylor. ideal 2000: 54-59 [doi]

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