Results 261 to 270 of about 16,220,352 (310)
Parametric Study of Reinforced Concrete Columns Embedded with PET Bottles Under Compression. [PDF]
Al Bayati S, Tabsh SW.
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Beyond the Cox model: a log-logistic accelerated failure time frailty model for analysing first birth timing in Zimbabwe. [PDF]
Takawira HT.
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Sample Size Reduction by Applying ML Based Causal Inference Methods. [PDF]
Youn A +7 more
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Relationships between rest-activity rhythms, cancer-related fatigue, and quality of life: Results from a time-restricted eating randomized controlled trial. [PDF]
Kleckner AS +5 more
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A Non-Parametric Approach to Model Evaluation
Journal of the Operational Research Society, 1986All existing tests and criteria for model evaluation are based on the sum of squared residuals. These measures do not evaluate the performance of a model in predicting turning points in the variable of interest. Here, three tests are proposed to evaluate models on the basis of their ability to predict turning points and to give an unbiased prediction ...
Dadkhah, Kamran M., Zahedi, Fatemeh
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Learning non-parametric models of pronunciation
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011As more data becomes available for a given speech recognition task, the natural way to improve recognition accuracy is to train larger models. But, while this strategy yields modest improvements to small systems, the relative gains diminish as the data and models grow.
Brian Hutchinson, Jasha Droppo
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A non-parametric topical relevance model
Information Retrieval Journal, 2018An information retrieval (IR) system can often fail to retrieve relevant documents due to the incomplete specification of information need in the user’s query. Pseudo-relevance feedback (PRF) aims to improve IR effectiveness by exploiting potentially relevant aspects of the information need present in the documents retrieved in an initial search ...
Debasis Ganguly, Gareth J. F. Jones
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