A gambling market is usually described as being inefficient if there are one or more betting strategies that generate profit, at a consistent rate, as a consequence of exploiting market flaws. This paper examines the online European football gambling market based on 14 European football leagues over a period of seven years, from season 2005/06 to 2011/12 inclusive, and takes into consideration ...

While Artificial Neural Networks (ANNs) are highly expressive models, they are hard to train from limited data. Formalizing a connection between Random Forests (RFs) and ANNs allows exploiting the former to initialize the latter. Further parameter optimization within the ANN framework yields models that are intermediate between RF and ANN, and achieve performance better than RF and ANN on the m...

We present a Bayesian network (BN) model for forecasting Association Football match outcomes. Both objective and subjective information are considered for prediction, and we demonstrate how probabilities transform at each level of model component, whereby predictive distributions follow hierarchical levels of Bayesian inference. The model was used to generate forecasts for each match of the 201...

Conventionally, Cu is preferred over Al to fabricate integrated inductors with higher quality factors on either silicon or sapphire substrates, profiting from its lower resistivity. However, after investigating and comparing these two kinds of metal multilayers in terms fabrication process, electrical conductivity, in-depth profile analysis performance actual inductors, the Al-based multilayer ...

This study employed the gravity model of trade to examine effects non-tariff measures (NTMs) on Sri Lankan tea exports. The used a panel data set including bilateral exports retrieved from Lanka and its ten major export destinations 2010 2019. frequency NTMs value shows an increasing trend. estimations show that except for tariff, coefficients all other variables are statistically significant a...

Profiting from the great progress of information technology, a huge number multi-label samples are available in our daily life. As result, classification has aroused widespread concern. Different traditional machine learning methods which time-consuming during training phase, ELM-RBF (extreme machine-radial basis function) is more efficient and become research hotspot classification. However, b...

Moral systems universally prohibit harming others for personal gain. However, we know little about how such principles guide moral behavior. Using a task that assesses the financial cost participants ascribe to harming others versus themselves, we probed the relationship between moral behavior and neural representations of profit and pain. Most participants displayed moral preferences, placing ...

The rise of populist forces presents a new challenge to spatial planning because its potential for conflict in substantial and procedural terms. aim the article is develop three perspectives on populism based democracy theory draw conclusions practice research. theories consulted are elitist, rational-technocratic theories, deliberative, participatory as well radical democratic-agonistic theori...