Process-based forest ecosystem models vary from simple physiological, complex physiological, to hybrid empirical-physiological models. Previous studies indicate that complex models provide the best prediction at plot scale with a temporal extent of less than 10 years, however, it is largely untested as to whether complex models outperform the other two types of models at plot and regional scale...

The development of hybrid models represents an important step in energy economy modeling, as hybrid models embody the most useful features of both top-down and bottomup models. Hybrid models explicitly represent technologies in a similar way to bottom-up models, thus enabling policy makers to understand the effects of technology-specific policies on energy consumption and the economy. However, ...

The paper analyses the entry strategies of software firms that adopt the Open Source production model. A new definition of business model is proposed. Empirical evidence, based on an exploratory survey taken on 146 Italian software firms * , shows that firms adapted to an environment dominated by incumbent standards by combining Open Source and proprietary software. The paper examines the deter...

−An empirical model to predict the boiler efficiency and pollutant emissions was developed with artificial neural networks based on the experimental data on a 360 MW W-flame coal fired boiler. The temperature of the furnace was selected as an intermediate variable in the hybrid model so that the predictive precision of NOx emissions was enhanced. The predictive precision of the hybrid model was...

Future increases in flooding potential around the world’s coastlines from extreme sea level events is heavily dependent on projections of future global mean sea level (GMSL) rise. Yet, the two main approaches for projecting 21st century GMSL rise—i.e., process-based versus semi-empirical—give inconsistent results. Here, a novel hybrid approach to GMSL projection, containing a process-based ther...

We study high-dimensional generalized linear models and empirical risk minimization using the Lasso. An oracle inequality is presented, under a so called compatibility condition. Our aim is three fold: to proof a result announced in van de Geer (2007), to provide a simple proof with simple constants, and to separate the stochastic problem from the deterministic one.

Accurate forecast of water demand is one of the main problems in developing management strategy for the optimal control of water supply system. In this paper, a hybrid model which combines empirical mode decomposition (EMD) and least square support vector machine (LSSVM) model is proposed to forecast water demand. This hybrid is formulated specifically to address in modelling water demand that ...

Annually, web search engine providers spend more and more money on documents ranking in search engines result pages (SERP). Click models provide advantageous information for ranking documents in SERPs through modeling interactions among users and search engines. Here, three modules are employed to create a hybrid click model; the first module is a PGM-based click model, the second module in a d...