— Anycast is a communication paradigm that was first introduced to the suit of routing protocols in IPv6 networks. In anycast, a packet is intended to be delivered to one of the...
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
Abstract--The current framework of network utility maximization for rate allocation and its price-based algorithms assumes that each link provides a fixed-size transmission "p...
A distributed neural network model called SPEC for processing sentences with recursive relative clauses is described. The model is based on separating the tasks of segmenting the ...