TSis paper deals with the problem of select ing the t best of n independent and i den t i ca l l y d ist r ibu ted random variables which are observed sequen t ia l l y with sampling cost c per un i t . Assume that a decision for acceptance or re jec t ion must be made a f ter each sampling and that the reward for each observation with value x is given by px c where p is 1 i f the observation i...

Futile cardiopulmonary resuscitation (CPR) may prevent humane care of the dying child and deprive parents of the opportunity to express their love, grief, and dedication at a critical moment, while appropriate and successful CPR may restore intact their child. Attempted resuscitation of corpses or children with terminal illness indicates inadequate knowledge, discrimination, and decision making...

Classification is an important data mining problem. Although datasets can be quite large in data mining applications, it can be advantageous to use the entire training dataset as opposed to sampling since that can increase accuracy. I/O is a significant component of overall execution time in many decision tree classifiers. We present some new optimizations that work with many of these classifie...

In the paper, an application of dynamic programming approach to global optimization of exact association rules relative to length is presented. It is an extension of the dynamic programming approach to optimization of decision rules to inconsistent tables. An information system I is transformed into a set of decision tables {If1 , . . . , Ifn+1}. The algorithm constructs, for each decision tabl...

Multi-criteria decision making problems exist everywhere. In a complex system, for all involved players, it is inevitable to face task/service selection situations where multiple qualities of tasks/services criteria need to be taken into account. In addition, complex interrelationships between different impact factors and actors need to be understood and traded off. In this paper, we present a ...

For over a decade, the IS discipline has been struggling to increase student enrollment. The enrollment problem is exacerbated by the fact that females/minorities are graduating college in increasing numbers and the IS discipline has historically attracted white males. This study assesses the effectiveness of the many enrollment interventions recommended in the IS literature by reporting on how...

Ordered Binary-Decision Diagrams (OBDD) are the state-of-the-art data structure for boolean function manipulation and there exist several software packages for OBDD manipulation. OBDDs have been successfully used to solve problems in e.g. digital-systems design, verification and testing, in mathematical logic, concurrent system design and in artificial intelligence. The OBDDs used in many of th...

There are many mode decisions in the video coding process that are used to optimize the performance in terms of the bit rate, the speed and the quality of the decoded video. We describe a classification based scheme for making mode decisions in the video coding process. We then illustrate the performance of the scheme using the I/P frame selection as an example. The performance of our scheme is...

How do scientists decide where to submit manuscripts? Many factors influence this decision, including prestige, acceptance probability, turnaround time, target audience, fit, and impact factor. Here, we present a framework for evaluating where to submit a manuscript based on the theory of Markov decision processes. We derive two models, one in which an author is trying to optimally maximize cit...

We implement a decision procedure for answering questions about a class of infinite words that might be called (for lack of a better name) “Fibonacci-automatic”. This class includes, for example, the famous Fibonacci word f = 01001010 · · · , the fixed point of the morphism 0 → 01 and 1 → 0. We then recover many results about the Fibonacci word from the literature (and improve some of them), su...