Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
This study provides a framework for researchers who study human-computer interaction to develop and evaluate user-centric user-interfaces by applying existing theories about telep...
Abstract In the ubiquitous computing environment, people will interact with everyday objects (or computers embedded in them) in ways different from the usual and familiar desktop u...
Seokhee Jeon, Jane Hwang, Gerard Jounghyun Kim, Ma...
Optimization of join queries based on average selectivities is suboptimal in highly correlated databases. In such databases, relations are naturally divided into partitions, each ...
Kostas Tzoumas, Amol Deshpande, Christian S. Jense...