We propose the Trust Region Preference Approximation (TRPA) algorithm ⚙️, which integrates rule-based optimization with preference-based optimization for LLM reasoning tasks 🤖🧠. As a ...

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Abstract: The function of this study is devoted to aspects of approximation algorithms such as approximation problems and showing the relationship between approximation order, linear classification ...

1 Key Laboratory of Applied Statistics of Ministry of Education, School of Mathematics and Statistics, Northeast Normal University, Changchun, China 2 Faculty of Education, Northeast Normal University ...

As a user, I would like to see that the tutorials showed on the qiskit.org/learn page has good quality Qiskit/qiskit-metapackage#1517 ...

Abstract: In this study, we provide a direct comparison of the Stochastic Maximum Likelihood algorithm and Contrastive Divergence for training Restricted Boltzmann Machines using the MNIST data set.