Boosting is a general method for improving the accuracy of any given learning algorithm. This short overview paper introduces the boosting algorithm AdaBoost, and explains the underlying theory of boosting, including an explanation of why boosting often does not suffer from overfitting as well as boosting’s relationship to support-vector machines. Some examples of recent applications of boostin...

Analyzing national and ethnic differences in individualism and collectivism, D. Oyserman, H. M. Coon, and M. Kemmelmeier (2002) showed that small differences in scales or samples produce markedly divergent results, challenging the validity of these constructs. The author examines the following limitations of research on individualism and collectivism: It treats nations as cultures and culture a...

This study addressed the issue of team support and explored the role of structural factors, namely, job enrichment designs; the role of cultural factors, namely, individualism–collectivism and power distance; and the role of the leader’s support, which served as support carrier in teams. With 56 nursing teams, the results demonstrated that whereas leader’s support, collectivism, and low power d...

Four studies tested whether cultural values moderate the content of gender stereotypes, such that male stereotypes more closely align with core cultural values (specifically, individualism vs. collectivism) than do female stereotypes. In Studies 1 and 2, using different measures, Americans rated men as less collectivistic than women, whereas Koreans rated men as more collectivistic than women. ...

Training an ensemble of neural networks is an interesting way to build a Multi-net System. One of the key factors to design an ensemble is how to combine the networks to give a single output. Although there are some important methods to build ensembles, Boosting is one of the most important ones. Most of methods based on Boosting use an specific combiner (Boosting Combiner). Although the Boosti...

Previous two-nation comparisons have provided evidence that self-efficacy may be a protective factor against depression in individualist cultures, whereas relationship harmony may be a stronger protective factor in collectivist cultures. However, wider sampling and more specific measures of cultural difference are required to test these conclusions. Student ratings of depression and life satisf...

Allen and Ng (1999a) proposed a conceptual framework of how consumers’ choice of services may be influenced by the human values that they endorse. The aim of this study is to observe which implications cultural differences had on holiday destination choice. The sample consisted of 793 participants (52% Brazilians, 48% Australians; 51% Male; average age = 25y; Education 52% High School), who ans...

Cultural differences and similarities can be documented not only at the level of the psyche (people’s motivations, beliefs, emotions, or cognitions) but also via shared, tangible representations of culture (such as advertising, texts, architecture, and so on). In this report, the authors present the results of some exploratory meta-analyses of cultural products. Data were sufficient to analyze ...

The author examined the extent to which familism, which is generally regarded as a Hispanic cultural value, is applicable to other ethnic groups as well. An ethnically diverse sample of 318 Hispanic, non-Hispanic White, and non-Hispanic Black young adults completed measures of attitudinal familism, collectivism, and interdependence. Confirmatory factor analyses indicated that the scoring algori...

Culture is deemed to be a crucial basis for innovation in various respects. The aim of this paper is to explore the relationships between different cultural dimensions introduced by Hofstede (2001) and the capability of initiating innovation measured by the number of patent applications using the sample of European countries at the regional level. As a novel approach, instead of using Hofstede’...