Alfons Schuster

  • Citations Per Year
Learn More
The considerable "algorithmic complexity" of biological systems requires a huge amount of detailed information for their complete description. Current high-throughput technology such as microarrays is generating an overwhelming amount of data of biological systems at the molecular and cellular level. To adequately organize, maintain, analyze and interpret(More)
Since its conception in the mid 1950s, artificial intelligence with its great ambition to understand and emulate intelligence in natural and artificial environments alike is now a truly multidisciplinary field that reaches out and is inspired by a great diversity of other fields. Rapid advances in research and technology in various fields have created(More)
This paper presents DNA algorithms for five relational algebra database operations, selection, projection, union, set difference, and Cartesian product on so-called DNA databases. A DNA database is a database where data records are encoded as DNA strands. The five operations mentioned before are fundamental in the field of databases and perform most of the(More)
Decision making based on the comparison of multiple criteria of two or more alternatives, is the subject of intensive research. In many decision making situations, a single criterion consists of more than one piece of information, and therefore might be regarded as a lump of aggregated information. This paper proposes a general method for aggregating(More)
The case-based reasoning (CBR) architecture described in this paper represents a substantive advancement in the representation of case-knowledge. It addresses three major problems found in current CBR schemes: 1) Insufficient treatment of abstract case features' context-dependent characteristics. 2) Lack of a methodical support for atomic and structured(More)
This paper aims to identify the potential of case-based reasoning (CBR) for problem-solving in complex telecommunication systems. The system under investigation is an environment on which automated test procedures are carried out frequently. The data gathered in these tests is used by engineers to assess the performance and the quality of the system.(More)
Performance prediction or forecasting sporting outcomes involves a great deal of insight into the particular area one is dealing with, and a considerable amount of intuition about the factors that bear on such outcomes and performances. The mathematical Theory of Evidence offers representation formalisms which grant experts a high degree of freedom when(More)
Intelligent computer systems rely on more or less complex computational entities that represent occurrences and events in the real world. Usually, such entities are formed from representational primitives called properties, attributes, features, etc. To reflect varying degrees of uncertainty, originating from human judgement and the intrinsic nature of the(More)