Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  are interested in exploring the possibility and benefits of structure learning for deep models. As the first step, this paper investigates the matter for Restricted Boltzmann Machines (RBMs).  conduct the study with Replicated Softmax, a variant of RBMs for unsupervised text analysis.  present a method for learning what  call Sparse Boltzmann Machines, where each hidden unit is connected to a subset of the visible units instead of all of them. Empirical results show that the method yields models with significantly improved model fit and interpretability as compared with RBMs where each hidden unit is connected to all visible units.
['Zhourong Chen', 'Nevin Lianwen Zhang', 'Dit-Yan Yeung', 'Peixian Chen']
I am writing a research paper on a idea Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis
[{"from": "human", "value": "I am writing a research paper on a idea Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  are interested in exploring the possibility and benefits of structure learning for deep models. As the first step, this paper investigates the matter for Restricted Boltzmann Machines (RBMs).  conduct the study with Replicated Softmax, a variant of RBMs for unsupervised text analysis.  present a method for learning what  call Sparse Boltzmann Machines, where each hidden unit is connected to a subset of the visible units instead of all of them. Empirical results show that the method yields models with significantly improved model fit and interpretability as compared with RBMs where each hidden unit is connected to all visible units."}]