![]() TBS also includes the Toulouse Business School Foundation, which funds research programs and helps promote social and cultural diversity. The school currently counts 5,600 students, 25% of which are international, and more than 51,000 alumni worldwide. Ever since it was called Toulouse Business School, TBS has been recognized by the French State, and been a Member of the prestigious Conference de Grandes Ecoles. TBS Education has always developed partnerships with prestigious schools and universities and offers a wide selection of courses for students who aim for a high level of expertise, through our double degree programs with selected international partner universities. TBS provides quality education through innovative training in growth sectors. TBS Education is also the only business school with a comprehensive training program in the aerospace sector, with a highly specific Aerospace MBA, an exclusive SIRIUS Research Chair for law and management activities in the space sector and dual degrees with the National School of Civil Aviation (ENAC) for the Bachelor and Master in Management programs. TBS programs are modular and can be followed in English, part-time or even via e-learning/work-linked training through the TBS Apprentice Training Center (CFA). The Executive Education teams also design customized programs for business leaders and human resource managers. In addition, the TBS offers specific training programs in Business Management for executives. They include undergraduate programs (Bachelor Program), Master programs (Master in Management, Grande Ecole) and postgraduate programs (Executive MBA, Aerospace MBA, DBA) as well as a choice of Master in Science programs, such as Auditing, Banking, Finance, Sustainable Development, Logistics, Tourism, Law, Health, Aviation, Marketing, Entrepreneurship, HR, and much more. There are some additional benefits for the multiple factors approach, including higher accuracy for predicting results of balanced games.All TBS study programs are integrated into the European ‘Licence-Master-Doctorate’ university system. On small datasets, we discovered that an iterative method brings a significant advantage for ssumed density filtering, greatly surpassing even the TrueSkill TM algorithm. We present experimental evidence on the increased performance of the multiple factors models they significantly raise the accuracy of Expectation Propagation model, and with enough data, more factors improve also the Assumed density filtering model. ![]() We have also implemented a version of TrueSkill TM adapted to our problem (game of Go) and use it for comparing our models. They bring a significant accuracy bonus, even without a time series model to keep track of how players’ skills evolve. We turned towards a Bayesian approach and used Assumed density filtering and Expectation Propagation algorithms (Minka, 2001). We found that simply fitting the models through maximum likelihood has low generalising capacity, and also requires massive amounts of data in order to yield high accuracy. Such a model associates more characteristics to a competitor and could – besides telling your skill and being used for matching players – provide insight into the characteristics of one’s play and strategy. ![]() Most existing models are based upon one latent variable associated with each player the purpose of my project is to construct a multiple-feature model for rating players. ![]() ![]() Rating systems have been receiving increasing attention recently, especially after TrueSkill TM was introduced (Herbrich et al., 2007). ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |