Learn More
Several studies have applied genetic programming (GP) to the task of forecasting with favorable results. However, these studies, like those applying other techniques, have assumed a static environment, making them unsuitable for many real-world time series which are generated by varying processes. This study investigates the development of a new “dynamic”(More)
BACKGROUND To address the feasibility and outcome of moderate dose intensification with granulocyte-colony stimulating factor (G-CSF) for patients with aggressive non-Hodgkin lymphoma (NHL), the Cancer and Leukemia Group B (CALGB) conducted two studies evaluating dose-escalated cyclophosphamide and etoposide in the cyclophosphamide, doxorubicin,(More)
Since approximately 30% of leukemia patients relapse after allogeneic BMT using total body irradiation (TBI)-based preparative regimens, treatment intensity may be suboptimal. The killing of leukemia cells is proportional to the radiation absorbed dose. We studied the feasibility and toxicity of escalating the doses of fractionated TBI above our previous(More)
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classifiers), has three main features: it applies genetic programming to perform a search in the space of potential solutions; a procedure allows biasing the search towards regions of(More)
A model of strategy formulation is used to study how an adaptive attacker learns to overcome a moving target cyber defense. The attacker-defender interaction is modeled as a game in which a defender deploys a temporal platform migration defense. Against this defense, a population of attackers develop strategies specifying the temporal ordering of resource(More)
This paper discusses global optimisation from a business perspective in the context of the supply chain operations. A two-silo supply chain was built for experimentation and two approaches were used for global optimisation: a classical evolutionary approach and a cooperative coevolutionary approach. The latter approach produced higher quality solutions due(More)
PURPOSE/OBJECTIVES To provide a comprehensive understanding of allogeneic peripheral blood stem cell transplantation (PBSCT), the new modality for treating advanced hematologic malignancies. DATA SOURCE Journal articles/abstracts, published literature, clinical experience. DATA SYNTHESIS Growth factor mobilization and apheresis is well tolerated by(More)