We consider the problem of multiple kernel learning (MKL), which can be formulated as a convex-concave problem. In the past, two efficient methods, i.e., Semi-Infinite Linear Prog...
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
Traditional face-to-face instruction in secondary education has been tested for hundreds of years now and has proven successful, but after the tremendous expansion of computer and...
Over the years, many successful applications of case-based reasoning (CBR) systems have been developed in different areas. The performance of CBR systems depends on several factor...
Auditory display research for driving has mainly focused on collision warning signals, and recent studies on auditory invehicle information presentation have examined only a limit...
Myounghoon Jeon, Benjamin K. Davison, Michael A. N...