This paper describes our novel retrieval model that is based on contexts of query terms in documents (i.e., document contexts). Our model is novel because it explicitly takes into...
Ho Chung Wu, Robert W. P. Luk, Kam-Fai Wong, K. L....
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
—Iterative K-best sphere detection (SD) and channel decoding is appealing, since it is capable of achieving a nearmaximum-a-posteriori (MAP) performance at a low complexity. Howe...
With Telecom market reaching saturation in many geographies and revenues from voice calls decreasing, Telecom operators are trying to identify new sources of revenue. For this pur...
Designer productivity and design predictability are vital factors for successful embedded system design. Shrinking time-to-market and increasing complexity of these systems requir...