نتایج جستجو برای: structural learning

تعداد نتایج: 981792  

Journal: :international journal of information, security and systems management 2012
zeinab jowkar

this paper describes one university’s approach to improving the quality of teaching and learning at the institutional level, based on the premise of improving the design of curriculum rather than focusing on the skills of teachers as such. the paper describes the process by which university-wide principles of curriculum design were defined and agreed, as well as the parallel campaigns needed to...

2006
Susana Pérez López José Manuel Montes Peón Camilo José Vazquez Ordás

The role of human resource management in learning organizations has been discussed by a number of researchers. It is suggested that some of the more traditional personnel functions of HR practitioners may be tailored to encourage a focus on learning and thus to help achieve organizational goals. However, there is a lack of empirical studies that explore the relationship between human resource m...

2002
D. Christopher Kayes

This paper considers John Dewey’s dual reformist-preservationist agenda for education in the context of current debates about the role of experience in management learning. The paper argues for preserving experience-based approaches to management learning by revising the concept of experience to more clearly account for the relationship between personal and social (i.e. , tacit/explicit) knowle...

2015
Kai-Wei Chang Shyam Upadhyay Gourab Kundu Dan Roth

Training a structured prediction model involves performing several loss-augmented inference steps. Over the lifetime of the training, many of these inference problems, although different, share the same solution. We propose AI-DCD, an Amortized Inference framework for Dual Coordinate Descent method, an approximate learning algorithm, that accelerates the training process by exploiting this redu...

2004
Jin-Wu Nam Je-Gun Joung Y. S. Ahn Byoung-Tak Zhang

We present an algorithm for identifying putative non-coding RNA (ncRNA) using an RCSG (RNA Common-Structural Grammar) and show the effectiveness of the algorithm. The algorithm consists of two steps: structure learning step and sequence learning step. Both steps are based on genetic programming. Generally, genetic programming has been applied to learning programs automatically, reconstructing n...

2014
Ahmad Afzali Amir Arash Motahari Loghman Hatami-Shirkouhi

Original scientific paper The current study explores the influence of perceived organizational support, psychological empowerment, and organizational learning on job performance in the bank industry. A sample of 280 employees was randomly selected from a pool of Iranian banks’ employees. The data were collected by the questionnaire and analysed using the structural equation model. The results s...

2006
Feifan Liu Jun Zhao

This paper presents a learning based model for Chinese co-reference resolution, in which diverse contextual features are explored inspired by related linguistic theory. Our main motivation is to try to boost the co-reference resolution performance only by leveraging multiple shallow syntactic and semantic features, which can escape from tough problems such as deep syntactic and semantic structu...

2011
Hua-Yan Wang Qiang Yang

Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critical to find the similarity between auxiliary and target domains, even when such mappings are not obvious. In this paper, we present a novel algorithm for finding the structural similarity between two domains, to enable t...

2004
John M. Maheu

The literature on structural breaks focuses on ex post identification of break points that may have occurred in the past. While this question is important, a more challenging problem facing econometricians is to provide forecasts when the data generating process is unstable. The purpose of this paper is to provide a general methodology for forecasting in the presence of model instability. We ma...

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