Planning ahead! Understanding the government's future leisure planning policy

The Planning-ahead SMO Algorithm

The sequential minimal optimization (SMO) algorithm and variants thereof are the de facto standard method for solving large quadratic programs for support vector machine (SVM) training. In this paper we propose a simple yet powerful modification. The main emphasis is on an algorithm improving the SMO step size by planning-ahead. The theoretical analysis ensures its convergence to the optimum. E...

Adaptive Look-Ahead Planning

We present a new adaptive connectionist planning method. By interaction with an environment a world model is progressively constructed using the backpropagation learning algorithm. The planner constructs a look-ahead plan by iteratively using this model to predict future reinforcements. Future reinforcement is maximized to derive suboptimal plans, thus determining good actions directly from the...

[Policy, planning and health management: the current understanding].

This work provides a literature review of Policy, Planning and Health Management between 1974 and 2005. Information is presented from previous research and publications, incorporating the production contained within the LILACS database from the last five years. The emergence of studies in these sub-themes is described in an attempt to associate them with political circumstances, with particular...

Planning for the Future.

Introduction " He who fails to plan, plans to fail. " For Project 3, I explored and analyzed both the causes and effects of planning for the future. In order to determine these outcomes, my analysis looked at a variety of variables from the early 1970's that serve as rough metrics for the focus individuals put on planning for their futures. To consider the effects planning has on various aspect...

Managing Information Systems: Policy Planning, Strategic Planning and Operational Planning