Information integration and retrieval are useful tasks in many information systems. In these systems, it is far from an easy task to directly integrate information from natural lan...
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
Although the world-wide-web (WWW) has significantly enhanced open-source software (OSS) development, it has also created new challenges for quality assurance (QA), especially for...
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
Instinctive computing is a computational simulation of biological and cognitive instincts. It is a meta-program of life, just like universal gravity in nature. It profoundly influe...