This paper introduces a new bio-inspired algorithm for optimal discrete decision making, able to incrementally grow and explore decision graphs in multiple directions. The heuristic draws inspiration from the idea that building decision sequences from multiple directions and then combining the sequences is an optimal choice if compared with a unidirectional approach. The behaviour of the slime ...

Feature selection is a fundamental problem in data mining, especially for high level dimensional datasets. Feature selection is a process commonly used in machine learning, wherein subsets of the features from the original set of features are selected for application of a learning algorithm. The best subset contains the minimum number of dimensions retaining a suitably high accuracy on classifi...

Recent years have witnessed an astronomical growth in the amount of textual information available both on the web and institutional wise document repositories. As a result, text mining has become extremely prevalent and processing of textual information from such repositories got the focus of the current age researchers. Indeed, in the researcher front of text analysis, there are numerous cutti...

The ultimate goal of this study is to afford enhanced video object detection and tracking by eliminating the limitations which are existing nowadays. Although high performance ratio for video object detection and tracking is achieved in the earlier work it takes more time for computation. Consequently we are in need to propose a novel video object detection and tracking technique so as to minim...

This paper fortifies and defends the so called Sufficiency Argument (SA) against Classical Invariantism. In Sect. 2, I explain the version of the SA formulated but then rejected by Brown (2008a). In Sect. 3, I show how cases described by Hawthorne (2004), Brown (2008b), and Lackey (forthcoming) threaten to undermine one or the other of the SA’s least secure premises. In Sect. 4, I buttress one ...

BACKGROUND AND OBJECTIVES At our institution, one-fifth of pediatric patients undergoing hip and spine surgery require prolonged oxygen supplementation, most likely due to postoperative atelectasis. Using quality improvement methodology, we aimed to implement an innovative postoperative respiratory care algorithm for hip and spine surgery patients, with a global aim of improving respiratory out...

We consider the geodesic motion on the symmetric moduli spaces that arise after timelike and spacelike reductions of supergravity theories. The geodesics correpond to timelike respectively spacelike p-brane solutions when they are lifted over a pdimensional flat space. In particular, we consider the problem of constructing the minimal generating solution: A geodesic with the minimal number of f...

In this paper we address the general problem of approximating, in a certain optimal way, non admissible motions of a kinematic system with nonholonomic constraints. Since this kind of problems falls into the general subriemannian geometric setting, it is natural to consider optimality in the sense of approximating by means of subriemannian geodesics. We consider systems modeled by a subriemanni...

firms invest in their learning activities to improve their innovative efforts. these kinds of activities are either internal or external. knowledge which flows among local actors is one of the external learning factors. spontaneous knowledge flows among firms without any compensation or with compensation less than the real value is called knowledge spillover. this paper analyzes the effect of k...