In real-world applications, it has been often observed that class imbalance (significant differences in class prior probabilities) may produce an important deterioration of the classifier performance, in particular with patterns belonging to the less represented classes. This effect becomes especially significant on instance-based learning due to the use of some dissimilarity measure. We analyz...

Niche overlap is increasingly used as a way of measuring the intensity of interorganizational competition. This paper examines and compares various distance and cosine measures of niche overlap. The analysis in this paper shows that Euclidean distance applied to the raw data as well as to transformed data is not an appropriate measure of niche overlap. An alternative measure from the cosine fam...

This paper describes the IIRG 1 system entered in SemEval-2013, the 7th International Workshop on Semantic Evaluation. We participated in Task 5 Evaluating Phrasal Semantics. We have adopted a token-based approach to solve this task using 1) Naı̈ve Bayes methods and 2) Word Overlap methods, both of which rely on the extraction of syntactic features. We found that the word overlap method signific...

Class imbalance has been reported as an important obstacle to apply traditional learning algorithms to real-world domains. Recent investigations have questioned whether the imbalance is the unique factor that hinders the performance of classifiers. In this paper, we study the behavior of six algorithms when classifying imbalanced, overlapped data sets under uncommon situations (e.g., when the o...

In this paper, the application of vector analysis tool in the illuminated area and the Doppler frequency distribution research for the airborne pulse radar is studied. An important feature of vector analysis is that it can closely combine the geometric ideas with algebraic calculations. Through coordinate transform, the relationship between the frame of radar antenna and the ground, under aircr...