نتایج جستجو برای: inconsistent training data
تعداد نتایج: 2652078 فیلتر نتایج به سال:
Dynamically Weighted Combination Model for Describing Inconsistent Failure Data of Software Projects
Background & aim: One of the most common causes of back deformities is spinal curve change in the waist. Physical therapy is one of the most common methods for treatment of lordosise and back pain. In the field of corrective exercise, the comparison of Williams and McKenzie’s training findings are small and inconsistent. So, the purpose of this study was to compare the effects of 8 weeks of Wil...
In machine-learning-based ranking, each category of queries can be applied with a specific ranking function, which is called query-type-based ranking. Such a divideand-conquer strategy can potentially provide better ranking function for each query categories. A critical problem for the query-type-based ranking is training data insufficiency, which may be solved by using the data extracted from ...
We present a semantic analysis technique for spoken input using Markov Logic Networks (MLNs). MLNs combine graphical models with first-order logic. They are particularly suitable for providing inference in the presence of inconsistent and incomplete data, which are typical of an automatic speech recognizer’s (ASR) output in the presence of degraded speech. The target application is a speech int...
PropBank has been widely used as training data for Semantic Role Labeling. However, because this training data is taken from theWSJ, the resulting machine learning models tend to overfit on idiosyncrasies of that text’s style, and do not port well to other genres. In addition, since PropBank was designed on a verb-by-verb basis, the argument labels Arg2 Arg5 get used for very diverse argument r...
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