LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
Data adaptation is an essential system component in a wide variety of application areas. To date, most applications use ad hoc methods to manage data in response to limited resour...
The Task Computing framework is designed to operate in dynamic ubiquitous environments in which a mobile computing user dynamically discovers the current set of available semantic...
Zhexuan Song, Ryusuke Masuoka, Jonathan R. Agre, Y...
Sensor networks consist of multiple low-cost, autonomous, ad-hoc sensors, that periodically probe and react to the environment and communicate with other sensors or devices. A prim...
This paper explores hybrid agents that use a variety of techniques to improve their performance in an environment over time. We considered, specifically, geneticlearning-parentin...