A new approach to the induction of multivariate decision trees is proposed. A linear decision function (hyper-plane) is used at each non-terminal node of a binary tree for splittin...
This paper examines the problem of code-generation for expression trees on non-homogeneous register set architectures. It proposes and proves the optimality of an O(n) algorithm f...
: An approach to the computational treatment of style is presented in the case of generation of informative texts. We regard the style mestly as a me,as of controlled selection of ...
In this paper we present a general framework for object detection and segmentation. Using a bottom-up unsupervised merging algorithm, a region-based hierarchy that represents the ...
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...