A new ensemble technique improves power forecasting for renewable energy.
arXiv research
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CSGE combines multiple models for better machine learning performance.
Extended CSGE improves power and cyclist movement forecasting.
In this paper we show how the study of asymmetric R&D alliances, that are those between young and small firms and large and MNEs firms for knowledge exploration and/or exploitation, requires the adoption of a coopetitive framework which consider both collaboration and competition. We draw upon the literature on asymmet…
This paper provides a coopetitive model for a global green economy, taking into account the environmental sustainability. In particular, we propose a differentiable coopetitive game G (in the sense recently introduced by D. Carf`ı) to represent a global green economy interaction, among a country c and the rest of the w…
In the present work we propose an original analytical model of coopetitive game. We try to apply this analytical model of coopetition - based on game theory and conceived at a macro level - to the Greek crisis, suggesting feasible solutions in a cooperative perspective for the divergent interests which drive the econom…
Adversarial MoE learns category-specific models for product search.
Paper proposes binary-valued gates for better LSTM training.
Modality-agnostic compression improves across diverse data types.