human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "data mapping for restricted boltzmann machine"
  Abstract: Restricted Boltzmann machine (RBM) is interpreted as a data mapping between visible and hidden layers without using the energy function. The idea of data mapping is to let the visible layer reconstruct the hidden layer in terms of minimizing a squared error to replace the probabilistic model of maximizing a product of probabilities. With the data mapping framework, this paper presents three new findings: 1) data on visible and hidden layers can be real-valued matrix data; 2) contrastive divergence is a finite difference approximation of the gradient descent and can be applied to train the directed graph as well; 3) activation can be non-sigmoid functions, for example, identity, relu and softsign. The reinterpreted RBM provides a general framework on dimensionality reduction, feature extraction and data representation pioneered and developed by Hinton and his colleagues. Numerical results are included to demonstrate the feasibility of data mapping on very low dimensionality reduction, matrix data and flexible activation.

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.LG(Machine Learning)