When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
The problem of efficiently finding the best match for a query in a given set with respect to the Euclidean distance or the cosine similarity has been extensively studied. However...
This paper presents a novel prototype hierarchy based clustering (PHC) framework for the organization of web collections. It solves simultaneously the problem of categorizing web ...
Abstract—In modern DSL networks, crosstalk among different lines (i.e., users) is the major source of performance degradation. Dynamic Spectrum Management (DSM) refers to a set o...
Paschalis Tsiaflakis, Yung Yi, Mung Chiang, Marc M...
-- Publishing person specific data while protecting privacy is an important problem. Existing algorithms that enforce the privacy principle called l-diversity are heuristic based d...