This work presents a study to bridge topic modeling and personalized search. A probabilistic topic model is used to extract topics from user search history. These topics can be se...
Managing the architectural description (AD) of a complex software system and maintaining consistency among the different models is a demanding task. To understand the underlying p...
Most of the current swarm model studies and applications try to mimic the collective behaviors of social animals, such as birds and ants. The studies seek to solve tasks similar to...
Xiaohui Cui, Justin M. Beaver, Everett Stiles, Lau...
This paper investigates the impact of subspace based techniques for acoustic modeling in automatic speech recognition (ASR). There are many well known approaches to subspace based...
We present a general learning-based approach for phrase-level sentiment analysis that adopts an ordinal sentiment scale and is explicitly compositional in nature. Thus, we can mod...