This paper presents an analytical performance prediction model that can be used to predict the speedup and similar performance metrics of four approximate string searching implemen...
Panagiotis D. Michailidis, Konstantinos G. Margari...
We propose a novel dependent hierarchical Pitman-Yor process model for discrete data. An incremental Monte Carlo inference procedure for this model is developed. We show that infe...
This paper presents a max margin framework on image annotation and multimodal image retrieval as a structured prediction model. Following the max margin approach the image retriev...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...
Previous studies of application usage show that the performance of collective communications are critical for high-performance computing and are often overlooked when compared to ...
Jelena Pjesivac-Grbovic, Thara Angskun, George Bos...
An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as ...
Ahmed Z. Al-Garni, Ahmad Jamal, Abid M. Ahmad, Abd...