Cross-Modal Data Programming Enables Rapid Medical Machine Learning

Cross-Modal Manifold Learning for Cross-modal Retrieval

This paper presents a new scalable algorithm for cross-modal similarity preserving retrieval in a learnt manifold space. Unlike existing approaches that compromise between preserving global and local geometries, the proposed technique respects both simultaneously during manifold alignment. The global topologies are maintained by recovering underlying mapping functions in the joint manifold spac...

Constraint Programming for Data Mining and Machine Learning

Machine learning and data mining have become aware that using constraints when learning patterns and rules can be very useful. To this end, a large number of special purpose systems and techniques have been developed for solving such constraint-based mining and learning problems. These techniques have, so far, been developed independently of the general purpose tools and principles of constrain...

Mathematical Programming Approaches To Machine Learning And Data Mining

Data Mining via Mathematical Programming and Machine Learning

i Acknowledgements iii

Mathematical Programming in Machine Learning and Data Mining

The field of Machine Learning (ML) and Data Mining (DM) is focused around the following problem: Given a data domainD we want to approximate an unknown function y(x) on the given data setX ⊂ D (for which the values of y(x) may or may not be known) by a function f from a given class F so that the approximation generalizes in the best possible way on all of the (unseen) data x ∈ D. The approximat...