نتایج جستجو برای: prior experience and knowledge
تعداد نتایج: 16932833 فیلتر نتایج به سال:
We address the experiences of the DARPA High Performance Knowledge Bases (HPKB) (Cohen et al., 1998) project in practical knowledge representation. The purpose of the HPKB project was to develop new techniques for rapid development of knowledge bases. The goal of this paper is to describe several technical issues that arose in creation of practical KB content. HPKB PROJECT
The construction industry is perceived as one of the knowledge-based value creating sectors of the economy; however, it faces many challenges, especially in terms of performance, due to its intrinsic nature. Different knowledge-based solutions have been proposed in the past to overcome this problem. However, the process-based solutions, enhancing personalisation strategies and interactions betw...
The more clearly the clinician comprehends the processes of clinical perception and of linking the experience with explanation, the more thoughtfully clinical students can be guided to construct an accurate 'clinical memory' of cases, and to construct a sound 'working knowledge' structure from their personal 'examined experience'. The structuring of the steps of clinical learning is intended as...
background: colorectal cancer (crc) is the third most common malignancy in iran. limited data are available on knowledge and barriers in regard to crc and screening tests in iran. the aim of the study was to characterize knowledge, practice, and barriers toward crc and its screening tests among an iranian at‑risk population. methods: this cross‑sectional study was conducted with participation ...
This thesis explores approaches towards learning with kernel methods using prior knowledge. Invariant learning with kernel methods is considered in more details. In the first part of the thesis, kernels are developed which incorporate prior knowledge on invariant transformations. Next, algorithms which specifically include prior knowledge are considered. An algorithm which linearly classifies d...
The performance of a natural language system trained on one domain often drops significantly when testing on another domain. Therefore, the problem of domain adaptation remains one of the most important natural language processing challenges. While many different domain adaptation frameworks have been proposed, they have ignored one natural resource – the prior knowledge on the new domain. In t...
We argue that there are a vast number of “interacting” factors that impact on the quality of a pupil’s learning experience. For example, the teacher’s pedagogical values, their understanding of the topic, the size and ability range of the class, the policy context of the school, the resources available, the prior knowledge of the pupils, and their behaviour. With regard to interactive multimedi...
the effects of agricultural information on the technical knowledge of the greenhouse owners in south khorasan province are dealt with in this study. research a descriptive-correlational methodology was ployed, and in terms of time, it was limited to the activities of the elements of knowledge and agricultural information as obtained from greenhouses during 2009. the study population consisted o...
We study the problem of compressed sensing with asymmetric prior information, as motivated by networking applications. We focus on the scenario in which a resource-limited encoder needs to report a small subset S from a universe of N objects to a more powerful decoder. The distinguishing feature of our model is asymmetry: the subset S is an i.i.d. sample from a prior distribution μ, and μ is on...
Classical approaches to shape correspondence base their computation purely on the properties, in particular geometric similarity, of the shapes in question. Their performance still falls far short of that of humans in challenging cases where corresponding shape parts may differ significantly in geometry or even topology. We stipulate that in these cases, shape correspondence by humans involves ...
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