Data mining has captured the hearts and minds of business analysts seeking a solution for exploring and modeling vastly larger, more complex and less well-behaved datasets. Exploratory data analysis, typically consisting of activities like statistical visualization, hypothesis generation, and introductory model fitting is a vital first step in any successful data mining venture. Exploratory dat...

The capacity of cells and organisms to respond to challenging conditions in a repeatable manner is limited by a finite repertoire of pre-evolved adaptive responses. Beyond this capacity, cells can use exploratory dynamics to cope with a much broader array of conditions. However, the process of adaptation by exploratory dynamics within the lifetime of a cell is not well understood. Here we demon...

Software engineering methodologies propose that developers should capture their efforts in ensuring that programs run correctly in repeatable and automated artifacts, such as unit tests. However, when looking at developer activities on a spectrum from exploratory testing to scripted testing we find that many engineering activities include bursts of exploratory testing. In this paper we propose ...

When subjects are given the balls-and-boxes problem-solving task (Kotovsky & Simon, 1990), they move rapidly towards the goal after an extended exploratory phase, despite having no awareness of how to solve the task. We investigated possible non-conscious learning mechanisms by giving subjects three runs of the task while recording ERPs. Subjects showed significant differences in their ERP comp...

Istituto Nazionale di GEOFISICA e VULCANOLOGIA The GaME workshop: " Gases in Magmatic Evolution: from depth to atmosphere, from micro to macro-scale, from calculation to observation " " Flory-Huggins, Quasi-Chemical and Polymeric model analogies in the treatment of reactivity and mixing properties of melts " 10:10-10:30: Christian De Capitani (Univ. Basel, Switzerland) " The Computation of Equi...

For example, consider the autonomous trading programs which lost Knight Capital $440 million (pre-tax) on August 1st, 2012, requiring the firm to quickly raise $400 million to avoid bankruptcy. This event undermines a common view that AI systems cannot cause much harm because they will only ever be tools of human masters. Autonomous trading programs make millions of trading decisions per day, a...

Some instances of creative thinking require an agent to build and test hypothetical the­ ories. Such a reasoner needs to explore the space of not only those situations that have occurred in the past, but also those that are rationally conceivable. In this paper we present a formalism for exploring the space of conceivable situation-models for those do­ mains in which the knowledge is primarily ...

This study focuses on theory building providing a holistic conceptual framework that consists of an ontology based OSS business model and an OSS business model taxonomy. The study extends existing theory in OSS business models and corresponding taxonomies, based on the structured-case methodological approach. An exploratory study is conducted in two research cycles, for the identification, vali...

This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bay...