Titlebook: Smoothing Spline ANOVA Models; Chong Gu Book 20021st edition Springer Science+Business Media New York 2002 ANOVA.ANOVA models.Likelihood.S

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书目名称Smoothing Spline ANOVA Models读者反馈学科排名

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ms. Solving linear ODEs results in matrix form system that can be solved using direct method such as Gaussian elimination method or indirect method (iterative methods) such as Jacobi method, and solving nonlinear ODEs can be done by Newton’s method. These methods are useful for moderately sized prob

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Chong Gus information for problems with rich structures..Clearly, we have two approaches that offer complementary strengths and weaknesses. The SVM approach can exploit very high dimensional feature spaces with strong generalization guarantees, but can only perform simple classifications of instances indepe

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Chong Gu framework. We introduce . that . leverage to learn a graphical model that captures complex non-linear functional dependencies between features in the form of an undirected sparse graph. . can handle multimodal inputs like images, text, categorical data, embeddings etc. which are not straightforward

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Chong Gumachine-learning results comparing three models of on-line system adaptation to users’ integration patterns, which were based on Bayesian Belief Networks. This work utilized data from ten adults who provided approximately 1,000 commands while interacting with a map-based multimodal system. Initial e

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Chong Gud approach is evaluated through ASR experiments on the . (SSC2) corpus. We demonstrate that our system provides large improvements in recognition accuracy compared with a single distant microphone case and the performance of ASR system can be significantly improved both through the use of MMI beamfo

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