We introduce a multi-label classification model and algorithm for labeling heterogeneous networks, where nodes belong to different types and different types have different sets of...
Ralitsa Angelova, Gjergji Kasneci, Fabian M. Sucha...
The Biased Minimax Probability Machine (BMPM) constructs a classifier which deals with the imbalanced learning tasks. In this paper, we propose a Second Order Cone Programming (SO...
This paper analyses the stages and circumstances for immersion based on quantitative and qualitative feedback from 563 people who took part in a three week long public trial of a ...
Ben J. C. Clayton, Erik Geelhoed, Josephine Reid, ...
Despite many sensor, hardware, networking, and software advances, it is still quite difficult to build effective and reliable context-aware applications. We propose to build a con...
ct A very fast, low complexity algorithm for resolution scalable and random access decoding is presented. The algorithm is based on AGP (Alphabet and Group Partitioning) [1], where...