Over the last two decades and with the widespread use of social media and e-commerce
sites, scientific research in the field of sentiment analysis (SA) has made considerable …

Abstract We present the Convex Polytope Machine (CPM), a novel non-linear learning
algorithm for large-scale binary classification tasks. The CPM finds a large margin convex …

Linear Programming lies at the core of mathematical modelling and optimization. Designing
linear programs (LPs) is a difficult and expensive process, as it requires both mathematical …

This paper introduces a family of quasi-linear discriminants that outperform current large-
margin methods in sliding window visual object detection and open set recognition tasks. In …

Abstract We propose Veto-Consensus Multiple Kernel Learning (VCMKL), a novel way of
combining multiple kernels such that one class of samples is described by the logical …

Robotic multi-pass welding for thick and shape-varying weld geometry is a challenging
problem. To achieve good weld quality, desired welding profile for the whole welding bevel …

To construct flexible nonlinear predictive distributions, the paper introduces a family of
softplus function based regression models that convolve, stack, or combine both operations …

Heating, Ventilation and Air Conditioning (HVAC) systems perform environmental
regulations to provide thermal comfort and acceptable indoor air quality. Recently …

Combining Bayesian nonparametrics and a forward model selection strategy, we construct
parsimonious Bayesian deep networks (PBDNs) that infer capacity-regularized network …

A decision tree is commonly restricted to use a single hyperplane to split the covariate space
at each of its internal nodes. It often requires a large number of nodes to achieve high …