نتایج جستجو برای: inconsistent training data
تعداد نتایج: 2652078 فیلتر نتایج به سال:
today, information technology and computers are indispensable tools of any profession and translation technologies have become an indispensable part of translator’s workstation. with the increasing demands for high productivity and speed as well as consistency and with the rise of new demands for translation and localization, it is necessary for translators to be familiar with market demands an...
This article presents an approach to graduate (and professional) training that views becoming an ethical psychologist as an acculturation process. J.W. Berry's (1980, 2003) model of acculturation strategies is used as a framework for understanding ethical acculturation, a developmental process during which students can use several types of adaptation strategies. Students enter training with the...
Two experiments were conducted to explore the role of configural representations in contextual cuing of visual search. Repeating patterns of distractors (contexts) were trained incidentally as predictive of the target location. Training participants with repeating contexts of consistent configurations led to stronger contextual cuing than when participants were trained with contexts of inconsis...
There have been a number o f attempts to overcome some o f the shortcomings of “teaching by guiding” approach. Summers and Grossman1-21 embedded a collection of the sensory information and interaction with the operator in the task instruction procedure. Asada and Assari131 used neural networks to extract the control rules to perform a particular assembly motion from the position and force data ...
Providing sequence tagging that minimize Hamming loss is a challenging, but important, task. Directly minimizing this loss over a training sample is generally an NP-hard problem. Instead, existing sequence tagging methods minimize a convex upper bound that upper bounds the Hamming loss. Unfortunately, this often either leads to inconsistent predictors (e.g., max-margin methods) or predictions t...
Text-to-Speech (TTS) systems rely on a grapheme-to-phoneme converter which is built to produce canonical, or statically stylized, pronunciations. Hence, the TTS quality drops when phoneme sequences generated by this converter are inconsistent with those labeled in the speech corpus on which the TTS system is built, or when a given expressivity is desired. To solve this problem, the present work...
Abstract The relationship between logics with sets of theorems including contradictions (“inconsistent logics”) and theories closed under such is investigated. It noted that if we take “theories” to be defined in terms deductive closure understood a way somewhat different from the standard, Tarskian, one, inconsistent can have consistent theories. That is, find some formulas which logic need no...
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