In genomic sequence analysis tasks like splice site recognition or promoter identification, large amounts of training sequences are available, and indeed needed to achieve suffici...
Query processing over graph-structured data is enjoying a growing number of applications. Keyword search on a graph finds a set of answers, each of which is a substructure of the ...
Nowadays, the use of machine learning methods for visual object detection has become widespread. Those methods are robust. They require an important processing power and a high mem...
— This paper presents a new reinforcement learning algorithm for accelerating acquisition of new skills by real mobile robots, without requiring simulation. It speeds up Q-learni...
Higher integration densities, smaller feature lengths, and other technology advances, as well as architectural evolution, have made microprocessor cores exceptionally complex. Cur...