— We present a new optimization procedure which is particularly suited for the solution of second-order kernel methods like e.g. Kernel-PCA. Common to these methods is that there...
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
– Mobile robots operating in home environments must deal with constrained space and a great variety of obstacles and situations to handle. This article presents a pilot study aim...
– Robotic systems like humanoid frequently move to undesirable pose while being visually controlled at the boundary of its workspace, because the working environment is quite hug...
— A new biped gait generation and optimization method is proposed in the frame of Estimation of Distribution Algorithms (EDAs) with Q-learning method. By formulating the biped ga...