run several experiments in order to explore the tradeoffs between different parameters. Our experiments show how the calendar and preference privacy affect the efficiency and the meeting joint quality under different experimental scenarios. The results show how the meeting scheduling performance

exchanged could be knowledge about the landscape obtained by the agents. The proposed algorithm is applied to continuous optimization problems. The preliminary experimental results show that the algorithm is very promising.

distortion level, and so forth. In this paper, we introduce another enhancement, namely, predictive coding. More importantly, we implement Differential Predictive Code Modulation (DPCM) within PMIC scheme. We report here some preliminary experimental results which show that PMIC enhanced by prediction can

level, and so forth. In this paper, we introduce another enhancement, namely, predictive coding. More importantly, we implement Differential Predictive Code Modulation (DPCM) within PMIC scheme. We report here some preliminary experimental results which show that PMIC enhanced by prediction can improve

of interest and adapts accord-ingly. Simulation results have shown the feasibility of this system for detecting tumors of 4 mm in diameter. In this paper, the second-generation experimental system for TSAR is presented. Materials with electrical properties similar to those in the breast are used

Abstract.We show how it is possible to pair the NuSMV model checker with Akka, a software platform used to check validity of proposi-tional modal formulas, to verify properties of multi-agent systems formalised on interpreted systems semantics. We demonstrate thisby analysing three variants of the bit-transmission problem.

of experimental results with this curve shows that experimental conductivities are consistently lower at any given grain density. Use of the lowered bounding curve and an effective gas conductivity of 0.12 W/m C allows conservative prediction of conductivity for a broad range of tuff types. For the samples

, the experimental results indicate a hierarchy of the algorithms under consideration. Furthermore, the emerging effects are evidence that the suggested test functions provide sufficient complexity to compare multiobjective optimizers. Finally, elitism is shown to be an important factor for improving evolutionary

This paper considers causal inference and sample selection bias in non-experimental settings in which: (i) few units in the non-experimental comparison group are comparable to the treatment units; and (ii) selecting a subset of comparison units similar to the treatment units is difficult because

being used to evaluate alternative proposals for front-end feature extraction. The database has been made publicly available through ELRA so that other speech researchers to evaluate and compare the performance of noise robust algorithms. Recognition results will be presented for the first standard DSR