Particle Competition and Cooperation in Networks for Semi-Supervised Learning with Concept Drift

Concept drift is a problem of increasing importance in machine learning and data mining. Data sets under analysis are no longer only static databases, but also data streams in which concepts and data distributions may not be stable over time. However, most learning algorithms produced so far are based on the assumption that data comes from a fixed distribution, so they are not suitable to handle concept drifts. Moreover, some concept drifts applications requires fast response, which means an algorithm must always be (re) trained with the latest available data. But the process of labeling data is usually expensive and/or time consuming when compared to unlabeled data acquisition, thus only a small fraction of the incoming data may be effectively labeled. Semi-supervised learning methods may help in this scenario, as they use both labeled and unlabeled data in the training process. However, most of them are also based on the assumption that the data is static. Therefore, semi-supervised learning with concept drifts is still an open challenge in machine learning. Recently, a particle competition and cooperation approach was used to realize graph-based semi-supervised learning from static data. In this paper, we extend that approach to handle data streams and concept drift. The result is a passive algorithm using a single classifier, which naturally adapts to concept changes, without any explicit drift detection mechanism. Its built-in mechanisms provide a natural way of learning from new data, gradually forgetting older knowledge as older labeled data items became less influent on the classification of newer data items. Some computer simulation are presented, showing the effectiveness of the proposed method.

Select bibliography on coastal area development and environmental, physical and regional planning in the Caribbean region

Bibliografía sobre desarrollo de las áreas costeras, planificación del medio ambiente, recursos marinos, planificación regional y física, y puertos del Caribe.

Asymmetries and cooperation in the Free Trade Area of the Americas

Includes bibliography

Activities at the Caribbean subregional level in relation to the World Conference on the Sustainable Development of Small Island Developing States

Includes bibliography

Report of mission on ports and harbours development and planning in East Caribbean countries, 1 November 1970 to 31 January 1971

Includes bibliography

UNASUR: Fostering South American integration through development and cooperation

Today, six years after the signature of its Constitutive Treaty and 14 years after the first Meeting of the Presidents of South America, the Union of South American Nations (UNASUR) stands as a union of 12 member States dedicated to the integration and long-term economic and social development of South America. With a view to achieving these aims, the Secretary-General of UNASUR has proposed three agendas: a social agenda based on the principle of inclusion, an economic agenda geared towards competitiveness and a political agenda directed towards deepening democracy and public safety. This document, UNASUR: Fostering South American integration through development and cooperation, was prepared by the Economic Commission for Latin America and the Caribbean (ECLAC) at the request of the General Secretariat of UNASUR. In follow-up to the earlier reports published in 2009 and 2011, it offers provide national authorities, academics and students, as well as the general public, an overview of some key issues on the development agenda of the nations of South America.

Particle Competition and Cooperation in Networks for Semi-Supervised Learning

Semi-supervised learning is one of the important topics in machine learning, concerning with pattern classification where only a small subset of data is labeled. In this paper, a new network-based (or graph-based) semi-supervised classification model is proposed. It employs a combined random-greedy walk of particles, with competition and cooperation mechanisms, to propagate class labels to the whole network. Due to the competition mechanism, the proposed model has a local label spreading fashion, i.e., each particle only visits a portion of nodes potentially belonging to it, while it is not allowed to visit those nodes definitely occupied by particles of other classes. In this way, a "divide-and-conquer" effect is naturally embedded in the model. As a result, the proposed model can achieve a good classification rate while exhibiting low computational complexity order in comparison to other network-based semi-supervised algorithms. Computer simulations carried out for synthetic and real-world data sets provide a numeric quantification of the performance of the method.

Commentary on "The Impact of Family Stressors on the Social Development of Adolescents in Residential Facilities"

This is a commentary on “The impact of family stressors on the social development of adolescents admitted to a residential treatment facility,” by Cynthia Harr. This article examines the important but relatively understudied relationship of family dynamics in the social development of high risk teens in residential treatment facility (RTF) care. The commentary supports the author’s calls for a continuum of care involving greater cooperation with parents, and critiques and expands on some of the recommendations.