Energy efficiency potential in Jamaica: challenges, opportunities and strategies for implementation

Incluye Bibliografía

Open regionalism in Asia Pacific and Latin America: a survey of the literature

Includes bibliography

Latin American South-South integration and cooperation: from a regional public goods perspective

Includes bibliography

Pension funds and the financing productive investment: an analysis based on Brazil's recent experience

Includes bibliography

Social policies and socioeconomic indicators for transitional economies

Includes bibliography

Asymmetries and cooperation in the Free Trade Area of the Americas

Includes bibliography

Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning

Semi-supervised learning is applied to classification problems where only a small portion of the data items is labeled. In these cases, the reliability of the labels is a crucial factor, because mislabeled items may propagate wrong labels to a large portion or even the entire data set. This paper aims to address this problem by presenting a graph-based (network-based) semi-supervised learning method, specifically designed to handle data sets with mislabeled samples. The method uses teams of walking particles, with competitive and cooperative behavior, for label propagation in the network constructed from the input data set. The proposed model is nature-inspired and it incorporates some features to make it robust to a considerable amount of mislabeled data items. Computer simulations show the performance of the method in the presence of different percentage of mislabeled data, in networks of different sizes and average node degree. Importantly, these simulations reveals the existence of the critical points of the mislabeled subset size, below which the network is free of wrong label contamination, but above which the mislabeled samples start to propagate their labels to the rest of the network. Moreover, numerical comparisons have been made among the proposed method and other representative graph-based semi-supervised learning methods using both artificial and real-world data sets. Interestingly, the proposed method has increasing better performance than the others as the percentage of mislabeled samples is getting larger. © 2012 IEEE.

Fuzzy community structure detection by particle competition and cooperation

Identification and classification of overlapping nodes in networks are important topics in data mining. In this paper, a network-based (graph-based) semi-supervised learning method is proposed. It is based on competition and cooperation among walking particles in a network to uncover overlapping nodes by generating continuous-valued outputs (soft labels), corresponding to the levels of membership from the nodes to each of the communities. Moreover, the proposed method can be applied to detect overlapping data items in a data set of general form, such as a vector-based data set, once it is transformed to a network. Usually, label propagation involves risks of error amplification. In order to avoid this problem, the proposed method offers a mechanism to identify outliers among the labeled data items, and consequently prevents error propagation from such outliers. Computer simulations carried out for synthetic and real-world data sets provide a numeric quantification of the performance of the method. © 2012 Springer-Verlag.

International migration, human rights and development in Latin America and the Caribbean: summary and conclusions

Includes bibliography

Population, social equity and changing production patterns

Includes bibliography

Establishing social statistical databases for evidenced-based social policy formulation in the Caribbean

Includes bibliography

Macroeconomic cooperation for uncertain times: the REDIMA experience

Includes Bibliography

Renewable energy sources in Latin America and the Caribbean: situation and policy proposals

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.

Network for Cooperation in Integrated Water Resource Management for Sustainable Development in Latin America and the Caribbean N° 41

• Editorial remarks.-- Open discussion: Tariffs and subsidies: the current situation and trends in the region ; State-owned utilities and the flight from public law: challenges and trends ; Challenges and opportunities in access to water and sanitation in rural areas.-- Meetings: Proposals based on the Water and Environment Initiative consensuses.-- News of the Network: Peru’s Compensation Mechanisms for Ecosystem Services Act ; Ecuador’s Act on Water Resources and Water Use and Exploitation ; The environmental dynamics of groundwater in Mexico ; The Water Citizenship Programme in the province of Mendoza, Argentina.-- Internet and WWW News