Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Algorithms based on first-order knowledge compilation are currently the state-of-the-art for lifted inference. These algorithms typically compile a probabilistic relational model into an intermediate data structure and use it to ansr many inference queries. ,  propose compiling a probabilistic relational model directly into a low-level target (e.g., C or C++) program instead of an intermediate data structure and taking advantage of advances in program compilation. Our experiments represent orders of magnitude speedup compared to existing approaches.
['Seyed Mehran Kazemi', 'David Poole']
I am writing a research paper on a idea Knowledge compilation for lifted probabilistic inference: compiling to a low-level language
[{"from": "human", "value": "I am writing a research paper on a idea Knowledge compilation for lifted probabilistic inference: compiling to a low-level language"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Algorithms based on first-order knowledge compilation are currently the state-of-the-art for lifted inference. These algorithms typically compile a probabilistic relational model into an intermediate data structure and use it to ansr many inference queries. ,  propose compiling a probabilistic relational model directly into a low-level target (e.g., C or C++) program instead of an intermediate data structure and taking advantage of advances in program compilation. Our experiments represent orders of magnitude speedup compared to existing approaches."}]