Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non-convexity of the optimization problem, previous works usually rely on severe approximations so that it is still an open problem.  propose a new learning algorithm that relies on non-convex optimization and bundle methods and allows tackling the original optimization problem as is. It is proved to converge to a solution with accuracy e with a rate O (1/e).  provide experimental results gained on speech and handwriting recognition that demonstrate the potential of the method.
['Trinh Minh Tri Do', 'Thierry Artières']
I am writing a research paper on a idea Large margin training for hidden Markov models with partially observed states
[{"from": "human", "value": "I am writing a research paper on a idea Large margin training for hidden Markov models with partially observed states"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non-convexity of the optimization problem, previous works usually rely on severe approximations so that it is still an open problem.  propose a new learning algorithm that relies on non-convex optimization and bundle methods and allows tackling the original optimization problem as is. It is proved to converge to a solution with accuracy e with a rate O (1/e).  provide experimental results gained on speech and handwriting recognition that demonstrate the potential of the method."}]