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Economics and Game Theory
Deterministic Calibration and Nash Equilibrium
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AdaBoost algorithm analysis approximation assume assumption asymptotically Bayes Bayesian network Berlin Heidelberg 2004 classifier clustering complexity Computer concept class consider constant convergence convex Corollary corresponding decision lists defined definition denote density deterministic efficient eigenvalues elicitation empirical equilibrium error estimate examples exists finite forecaster given graph halfspaces Hilbert space hypothesis implies inequality input iteration kernel kernel PCA label learnable learner learning algorithm Lemma linear Lipschitz LNAI log-concave loss function lower bound Machine Learning margin Markov chains matrix measure method minimizing Nash equilibrium Neural node notation Note obtain optimal output parameters PExact polynomial polynomial threshold function prediction probability at least probability distribution problem prove Q-learning random variables recursive regression sample satisfies sequence Shawe-Taylor solution spectral clustering statistical stochastic language subset support vector support vector machines uniformly upper bound valuation VC dimension weight