Today, a large amount of uncertain data is produced by several applications where the management systems of traditional databases including indexing methods are not suitable to handle such type of data. In this paper, we propose an inverted based index method for efficiently searching uncertain categorical data over distributed environments. We address two kinds of query over the distributed un...

We study the efficiency of categorization of other agents as a way of simplifying the decision problem that agents face when involved in a large game. We assume that, when an agent categorizes (partitions) her opponents, she can only observe the average strategy in each category. A strategy profile is a Conjectural Categorical Equilibrium (CCE) with respect to a given categorization profile if ...

Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from measurement errors, data staleness, and repeated measurements etc., these kinds of uncertainty have to be handled cautiously, or else the mining results could be unreliable or even wrong. In this paper, we focus on class...

The mapping of categorical variables into numerical values is common in machine learning classification problems. This type frequently performed a relatively arbitrary manner. We present series four assumptions (tested numerically) regarding these mappings the context protein using amino acid information. assumption involves problems without need to use approaches such as natural language proce...

This paper estimates a Structural Dynamic Factor Model on a panel of 102 US quarterly series. We model economic comovements by means of 5 underlying structural shocks (oil price, productivity, aggregate demand, monetary policy, and housing demand). The results of the benchmark model (impulse responses and variance decompositions) are in line with those predicted by economic theory and usually e...

A classification is given of primitive K0-categorical structures which are smoothly approximated by a chain of finite homogeneous substructures. The proof uses the classification of finite simple groups and some representation theory. The main theorems give information about a class of structures more general than the X0-categorical, co-stable structures examined by Cherlin, Harrington, and Lac...

Geomorphology is a dominant factor influencing vegetation distribution in the southern Appalachians, and quantifying landform characteristics is increasingly important for forest ecosystem classification. This study used slope gradient and two previously published geomorphic indices, terrain shape index and landform index that quantify landform shape and protection, to develop a field-based lan...