What is characteristic of modern embedded systems like mobile phones, multimedia terminals, etc. is that their design requires several different description techniques: The radio-frequency part of a mobile phone is designed using analog techniques, the signal processing part can be described using synchronous data-flow, while the protocol stack uses an extended finite state machine based descri...

We propose a novel algorithm for inducing semantic taxonomies. Previous algorithms for taxonomy induction have typically focused on independent classifiers for discovering new single relationships based on hand-constructed or automatically discovered textual patterns. By contrast, our algorithm flexibly incorporates evidence from multiple classifiers over heterogenous relationships to optimize ...

Acquired autoimmune myasthenia gravis (MG) is an organ specific autoimmune disorder of the neuromuscular junction. In the majority of the patients (~85%) antibodies are directed to muscle postsynaptic nicotinic acetylcholine receptor (AChR), but in others the target is non-AChRprotein at neuromuscular junction, such as Muscle-specific receptor tyrosine kinase (MuSK), or low density lipoprotein ...

In this paper we study the accruement and decay of asset pricing bubbles under the assumption that young agents behave boundedly rational when rst entering the market and then gain more and more experience when growing older, nally reaching a state of perfect rational behavior. Therefore we set up an overlapping generations model where agents form their beliefs about the payo of a risky asset b...

The Clustering project is a part of the STK++ library (Iovleff 2012) that can be accessed from R (R Development Core Team 2013) using the MixAll package. It is possible to cluster Gaussian, gamma, categorical, Poisson, kernel mixture models or a combination of these models in case of heterogeneous data. Moreover, if there is missing values in the original data set, these missing values will be ...

This paper examines linear income taxation in a model where preferences over relative consumption are only exhibited by some individuals in the population. This heterogeneity in preferences generates several interesting issues in the optimal tax context. We analyze cases where the tax authority (1) uses a non-welfarist objective (one which places variable weight on the welfare of relatively-con...

⎯ This paper presents an algorithm for scheduling parallel applications in large-scale, multiuser, heterogeneous distributed systems. The approach is primarily targeted at systems that harvest idle cycles in general-purpose workstation networks, but is also applicable to clustered computer systems and massively parallel processors. The algorithm handles unequal processor capacities, multiple ar...

In recent years, the importance of defining a standard framework for agent communication language (ACL) has been widely recognized. However, classical proposals (mentalistic semantics and social semantics) fail to meet the objectives of verifiability and flexibility required in complex interactions involving heterogenous agents possibly designed by different programmers. In this paper we propos...

In the post-genomic era, biological sequences are used to investigate most phenomena of molecular biology. The growing number of databases and their entries allows us to design meta-studies in a new dimension and to re-investigate known phenomena from a new perspective. Neverthless, from a data science point of view this vast amount of heterogenous data, coming from very different data resource...