Identifying and managing students who experience difficulty with learning to program is a challenge for CS educators. In an attempt to answer the familiar question “What makes f...
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
— Although packet-pair probing has been used as one of the primary mechanisms to measure bottleneck capacity, crosstraffic intensity, and available bandwidth of end-to-end Inter...
Xiliang Liu, Kaliappa Nadar Ravindran, Dmitri Logu...
An algorithm is presented for the visualisation of multidimensional abstract data, building on a hybrid model introduced at InfoVis 2002. The most computationally complex stage of...