Feature selection methods, as a preprocessing step to machine learning, are effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improving result comprehensibility. However, the recent increase of dimensionality of data poses a severe challenge to many existing feature selection methods with respect to the efficiency and effectiveness. In this work, ...

Problem frames provide a means of analyzing and decomposing problems. They emphasise the world outside of the computer, helping the developer to focus on the problem domain, instead of drifting into inventing solutions. However, even modestly complex problems can force us into detailed consideration of the architecture of the solution. This is counter to the intention of the problem frames appr...

This paper develops a flexible approach to combine forecasts of future spot rates with forecasts from time-series models or macroeconomic variables. We find empirical evidence that accounting for both regimes in interest rate dynamics and combining forecasts from different models helps improve the out-of-sample forecasting performance for US short-term rates. Imposing restrictions from the expe...

In this paper, we propose a functional approach to overcome the lack of expressiveness of predicative approaches for extensional reference resolution. This later approach indeed forces designers of dialogue systems to use specific heuristics when solving some reference cases, which they can’t integrate in a unified representation framework. As we focus on extensional reference resolution in a g...

From the viewpoint of adaptability, we classify software systems as being nonreflexive, introspective and adaptive. Introducing a simple example of LL(1) languages for expressions, we present its nonreflexive and adaptive implementation using Haskell functional language. Multiple metalevel concepts are an essential demand for a systematic language approach, to build up adaptable software system...

I study creation of multiagent organizations via an automated computational process. My organizational design problem frames design decisions in terms of the quantitative impact that an organization is expected to have on the agents’ reasoning and behaviors. I develop techniques for efficiently solving this problem via incremental search of the organizational design space, and extend my organiz...

The conception of the architect as form-giver has since historical times dominated the field of architecture. It is precisely this image which has devalued material practice in the distinction between form and matter consistently inherent in architectural discourse. Recent technological developments in the field of design computation, coupled with environmental concerns and philosophical debate...

This work presents a safe navigation approach for a carlike robot. The approach relies on a global motion planning based on Velocity Vector Fields along with a Dynamic Window Approach for avoiding unmodeled obstacles. Basically, the vector field is associated with a kinematic, feedback-linearization controller whose outputs are validated, and eventually modified, by the Dynamic Window Approach....

− We provide a reformulation of Cocke−Younger−Kasami’s algorithm for recognizing context-free languages in which there are no references either to indices of table entries or to the length of the input string. Some top-down analogues of this functional approach are discussed as well.

We investigate the liquid-vapor interface of the restricted primitive model for an ionic fluid using a density functional approach. The applied theory includes the electrostatic contribution to the free energy functional arising from the bulk energy equation of state and the mean spherical approximation for a restricted primitive model, as well as the associative contribution, due to the format...