The fixed charge network flow (FCNF) problem is a classical NP-hard combinatorial problem with wide spread applications. To the best of our knowledge, this is the first paper that employs a statistical learning technique to analyze and quantify the effect of various network characteristics relating to the optimal solution of the FCNF problem. In particular, we create a probabilistic classifier ...

The control of blood pressure is a complex mixture of neural, hormonal and intrinsic interactions at the level of the heart, kidney and blood vessels. While experimental approaches to understanding these interactions are useful, it remains difficult to conduct experiments to quantify these interactions as the number of parameters increases. Thus, modelling of such physiological systems can offe...

Inferring potential therapeutic indications and identifying clinically important side-effects are both important and challenging tasks in modern drug development. Previous studies have utilized drug chemical structures and protein targets to construct predictive models for both tasks. According to our study, the drug therapeutic information itself is highly predictive for side-effects, and drug...

It is becoming increasingly important to learn from a partially-observed random matrix and predict its missing elements. We assume that the entire matrix is a single sample drawn from a matrix-variate t distribution and suggest a matrixvariate tmodel (MVTM) to predict those missing elements. We show that MVTM generalizes a range of known probabilistic models, and automatically performs model se...

To cite this work, please refer to the original publication [4] in Proceedings of the ACM SIGCHI Conference on Designing Interactive Systems (DIS 2016). Copyright © 2017 for this paper is held by the author(s). Proceedings of MICI 2017: CHI Workshop on Mixed-Initiative Creative Interfaces. Abstract This workshop paper discusses our mixed-initiative approach that enables designers to rapidly ske...

Large-scale military deployments require transporting equipment and personnel over long distances in a short time. Planning an efficient airlift system is complicated and several models exist in the literature. Particularly, a study conducted on a deterministic optimization model developed by the Naval Postgraduate School and the RAND Corporation has shown that incorporating stochastic events l...

We study the combined problem of approximating a surface by a quad mesh (or quad-dominant mesh) which on the one hand has planar faces, and which on the other hand is aesthetically pleasing and has evenly spaced vertices. This work is motivated by applications in freeform architecture and leads to a discussion of fields of conjugate directions in surfaces, their singularities and indices, their...