首页|Study Results from Ohio State University Provide New Insights into Machine Learning (The Tweedledum and Tweedledee of Dynamic Decisions: Discriminating Between Diffusion Decision and Accumulator Models)
Study Results from Ohio State University Provide New Insights into Machine Learning (The Tweedledum and Tweedledee of Dynamic Decisions: Discriminating Between Diffusion Decision and Accumulator Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Columbus, Ohio, by NewsRx edi tors, the research stated, “Theories of dynamic decision-making are typically bu ilt on evidence accumulation, which is modeled using racing accumulators or diff usion models that track a shifting balance of support over time. However, these two types of models are only two special cases of a more general evidence accumu lation process where options correspond to directions in an accumulation space.”
ColumbusOhioUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningOhio State University
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