The anterior corneal asphericity (Q) with the tangential radius is calculated, and a three-dimensional (3-D) anterior corneal model is constructed. Tangential power maps from Orbscan II are acquired for 66 young adult subjects. The Q-value of each semimeridian in the near-horizontal region is calculated with the tangential radius. Polynomial fitting is used to model the 360-semimeridional varia...

To evaluate the change in the anterior corneal asphericity (ΔQ) comprehensively calculated using the tangential radius (rt ) after LASIK. Forty-two right eyes were evaluated using the Orbscan II corneal topographer. The pre- and postoperative Q-values of the flat principal semimeridians calculated by the sagittal radius were compared to those by the tangential radius. The Q-value of each semime...

This paper describes and evaluates how confidence values can be used to improve the quality of exploration in Q-Routing for adaptive packet routing in communication networks. In Q-Routing each node in the network has a routing decision maker that adapts, on-line, to learn routing policies that can sustain high network loads and have low average packet delivery time. These decision makers mainta...

This paper describes and evaluates how confidence values can be used to improve the quality of exploration in QRouting for adaptive packet routing in communication networks. In Q-Routing each node in the network has a routing decision maker that adapts, on-line, to learn routing policies that can sustain high network loads and have low average packet delivery time. These decision makers maintai...

A variational proof is provided of the existence and uniqueness of evolutions of regular Lagrangian systems. Introduction Let Q be a smooth, finite dimensional manifold and L : TQ → R be a smooth Lagrangian. Evolutions of the Lagrangian system defined by L are by definition the C curves q : [0, h] → R which are critical points of the action Sh = ∫ h 0 L ◦ q(t) dt, subject to the constraint that...

An active perception learning system based on reinforcement learning is proposed. A novel reinforcement architecture, called Actor-Q, is employed in which Qlearning and Actor-Critic are combined. The system decides its actions according to Q-values. One of the actions is to move its sensor, and the others are to make an answer of its recognition result, each of which corresponds to each pattern...

We study the q-singular values of random matrices with pre-Gaussian entries defined in terms of the `q-quasinorm with 0 < q ≤ 1. Mainly we study the decay of the lower and upper tail probabilities of the largest q-singular value s 1 , when the number of rows of the matrices becomes very large. Furthermore, we also give probabilistic estimates for the smallest q-singular value of pre-Gaussian ra...