This paper presents a refined interpretation of the role of real time data in estimating a Taylor rule. We use monthly Consensus survey data to construct inflationary and growth expectations. We argue that using real time expectations in estimating a Taylor rule is to be preferred above using real time output gap data alone. We approach uncertainty by the variance and skewness of expected outpu...

In this research study, we analyze the performance of bio inspired classification approaches by selecting Ant-Miners (Ant-Miner, cAnt_Miner, cAnt_Miner2 and cAnt_MinerPB) for the discovery of classification rules in terms of accuracy, terms per rule, number of rules, running time and model size discovered by the corresponding rule mining algorithm. Classification rule discovery is still a chall...

In this paper 1 two diierent models of pronunciation are presented: the rst model is based on a rule set compiled by an expert, while the second is statistically based, exploiting a survey about pronunciation variants occurring in training data. Both models generate pronunciation variants from the canonic forms of words. The two models are evaluated by applying them to the task of automatic seg...

A survey of zoological literature affirmed the wide occurrence of Fibonacci numbers in the organization of acellular and prokaryotic life forms as well as in some eukaryotic protistans and in the embryonic development and adult forms of many living and fossil remains of metazoan animals. A detailed comparative analysis of the axial skeleton of a fossil fish and humans revealed a new rule of the...

Association rules are a popular knowledge discovery technique for warehouse basket analysis. They indicate which items of the warehouse are frequently bought together. The problem of association rule mining has first been stated in 1993. Five years later, several research groups discovered that this problem has a strong connection to Formal Concept Analysis (FCA). In this survey, we will first ...

There is ample evidence for a “democracy premium”. Laws that have been implemented via election lead to a more cooperative behavior compared to a top-down approach. This has been observed using field data and laboratory experiments. We present evidence from Chinese students and workers who participated in public goods experiments and a value survey. We find a premium for top-down rule implement...

Rule-based and case-based reasoning are two popular approaches used for problem solving in intelligent systems. They are natural alternatives in knowledge representation. Rules usually represent general knowledge, whereas cases encompass knowledge accumulated from specific (specialized) situations. Each approach has advantages and disadvantages. Due to their interchangeable nature, rules and ca...

Decision-making under uncertainty has a long and distinguished history in operations research. However, most of the existing solution techniques suffer from the curse of dimensionality, which restricts their application to small and medium-sized problems, or they rely on simplifying modelling assumptions (e.g. absence of recourse actions). Recently, a new solution technique has been proposed, w...

In this paper two di erent models of pronunciation are presented: the rst model is based on a rule set compiled by an expert, while the second is statistically based, exploiting a survey about pronunciation variants occurring in training data. Both models generate pronunciation variants from the canonic forms of words. The two models are evaluated by applying them to the task of automatic segme...