Multi-agent systems have a reputation for bringing with them the property of robustness. However, multi-agent systems need to be specifically designed to display this property and until now it is unclear how this can be achieved. One way of approaching this, is to try to simulate social systems, as social order is in close analogy to robustness. We discuss this analogy, give an attempt to a def...

Best-basis searching algorithm based on binary (in general, M-ary) segmentation was constructed by Coifman and Wickerhauser in 1992 [1] (IEEE Trans. on Information Theory, 38, 713-718). However, there are several problems with the binary scheme. First, the binary segmentation is inflexible in grouping signals along the axis. Secondly, the binary-based segmentation method is very sensitive to ti...

Fig. 3. Comparison of PE schemes in bSSFP CMRA of the right coronary artery. Conspicuity of the distal RCA was good in all three schemes. Fig. 2. Flexible PE schemes with partial Fourier acquisition in the PE (kY) dimension and k-space corners removed from sampling, colorized from red to blue to reflect the sequence of acquisition. Plots of the first and last acquisition trains are shown, refle...

Extracting features from digital images is the first goal of almost all image understanding systems. It is also difficult to solve because of the presence of noises and various photometric anomalies. Another difficulty for it is the fact that features and objects are recognized by using not only the information contained in image data but also our a priori knowledge about the semantics of the w...

A ~ s ~ Q c ~ A method for the recognition of multifont printed characters is proposed, giving emphasis to the identification of structural descriptions of character shapes using prototypes. Noise and shape variations are modeled as series of transformations from groups of features in the data to features in each prototype. Thus, the method manages systematically the relative distortion between...

This paper describes an application of reinforcement learning to the mention detection task. We define a novel action-based formulation for the mention detection task, in which a model can flexibly revise past labeling decisions by grouping together tokens and assigning partial mention labels. We devise a method to create mention-level episodes and we train a model by rewarding correctly labele...

In the paper an extended knowledge representation for rules is considered. It is called Extended Tabular Trees (XTT2) and it provides a network of decision units grouping rules working in the same context. The units are linked into an inference network, where a number of inference options are considered. The original contribution of the paper is the proposal and formalization of several differe...

Assuming the feasibility of main-memory database management systems, the current research aims at designing a new type of data manipulation API, called Business Object Query Language (BOQL), specifically tailored for in-database data manipulation in main-memory ERP systems. The paper contributes the concept of business object virtualization and describes a query processor that takes advantage o...