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748
Motivation through the Design of Work: Test of a Theory. Organizational Behavior and Human Performance,
, 1976
"... A model is proposed that specifies the conditions under which individuals will become internally motivated to perform effectively on their jobs. The model focuses on the interaction among three classes of variables: (a) the psychological states of employees that must be present for internally motiv ..."
Abstract
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Cited by 622 (2 self)
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A model is proposed that specifies the conditions under which individuals will become internally motivated to perform effectively on their jobs. The model focuses on the interaction among three classes of variables: (a) the psychological states of employees that must be present for internally
Subspace Communication
, 2014
"... We are surrounded by electronic devices that take advantage of wireless technologies, from our computer mice, which require little amounts of information, to our cellphones, which demand increasingly higher data rates. Until today, the coexistence of such a variety of services has been guaranteed by ..."
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of the spectrum by legacy sys-tems. Cognitive radio exhibits a tremendous promise for increasing the spectral efficiency for future wireless systems. Ideally, new secondary users would have a perfect panorama of the spectrum usage, and would opportunistically communicate over the available re-sources without
Self-determination and persistence in a real-life setting: Toward a motivational model of high school dropout.
- Journal of Personality and Social Psychology,
, 1997
"... The purpose of this study was to propose and test a motivational model of high school dropout. The model posits that teachers, parents, and the school administration's behaviors toward students influence students' perceptions of competence and autonomy. The less autonomy supportive the so ..."
Abstract
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Cited by 183 (19 self)
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or who desire a career that requires a college degree intend to pursue their schooling. For a substantial portion of students, however, self-determined motivation toward school has become so low (i.e., they have developed low levels of intrinsic motivation and identified regulation but high levels
Oriented Soft Localized Subspace Classification
"... Subspace methods of pattern recognition form an interesting and popular classification paradigm. The earliest subspace method of classification was the CLass Featuring Information Compression (CLAFIC) which associated with each class a corresponding linear subspace. Local subspace classification met ..."
Abstract
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Cited by 1 (0 self)
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Subspace methods of pattern recognition form an interesting and popular classification paradigm. The earliest subspace method of classification was the CLass Featuring Information Compression (CLAFIC) which associated with each class a corresponding linear subspace. Local subspace classification
Introducing Locality and Softness in Subspace Classification
, 1999
"... Subspace classifiers classify a pattern based on its distance from different vector subspaces. Earlier models of subspace classification were based on the assumption that individual classes lie in unique subspaces. In later extensions, locality was introduced into subspace classification allowing fo ..."
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Cited by 1 (0 self)
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for a class to be associated with more than one sub manifold. The local subspace classifier is thus a piecewise linear classifier and is more powerful when compared to the linear classification performed by global subspace methods. We present extensions to the basic subspace method of classification
1Classification via Incoherent Subspaces
"... This article presents a new classification framework that can extract individual features per class. The scheme is based on a model of incoherent subspaces, each one associated to one class, and a model on how the elements in a class are represented in this subspace. After the theoretical analysis a ..."
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This article presents a new classification framework that can extract individual features per class. The scheme is based on a model of incoherent subspaces, each one associated to one class, and a model on how the elements in a class are represented in this subspace. After the theoretical analysis
Whom You Know Matters: Venture Capital Networks and Investment Performance,
- Journal of Finance
, 2007
"... Abstract Many financial markets are characterized by strong relationships and networks, rather than arm's-length, spot-market transactions. We examine the performance consequences of this organizational choice in the context of relationships established when VCs syndicate portfolio company inv ..."
Abstract
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Cited by 138 (8 self)
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centrality measure by dividing by the maximum possible degree in an n-actor network (i.e., n-1). While we normalize the centrality measures used in the empirical analysis, we note that all our results are robust to using non-normalized network centrality measures instead. 8 B. Closeness While degree counts
Graph subspaces and the spectral shift function
- 2003), 449 – 503; math.SP/0105142 v3
"... Abstract. We extend the concept of Lifshits–Krein spectral shift function associated with a pair of self-adjoint operators to the case of pairs of (admissible) operators that are similar to self-adjoint operators. An operator H is called admissible if: (i) there is a bounded operator V with a bounde ..."
Abstract
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Cited by 21 (12 self)
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bounded inverse such that H = V −1 ̂HV for some self-adjoint operator ̂H; (ii) the operators H and ̂ H are resolvent comparable, i.e., the difference of the resolvents of H and ̂ H is a trace class operator (for non-real values of the spectral parameter); (iii) tr(V R − RV) = 0 whenever R is bounded
Classification with Degree of Membership: A Fuzzy Approach
, 2001
"... research. It is concerned with the prediction of the values of some attribute in a database based on other attributes. To tackle this problem, most of the existing data mining algorithms adopt either a decision tree based approach or an approach that requires users to provide some userspecified thre ..."
Abstract
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Cited by 17 (5 self)
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is especially useful when the discovered rules are presented to human experts for examination because of the affinity with the human knowledge representation. The use of fuzzy technique allows the prediction of attribute values to be associated with degree of membership. Our approach is, therefore, able to deal
Local Classification Methods for Heterogeneous Classes
, 2007
"... Abstract. Many classification methods, for example LDA, QDA or Fisher dis-criminant analysis (FDA), assume the classes to form homogeneous groups. But in practical applications heterogeneous classes that consist of multiple subclasses can often be observed. In such cases local classification methods ..."
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methods that take the local class structure, i. e. the subclasses, into account can be beneficial. In package klaR (Weihs et al., 2005) the function loclda that performs localized linear discriminant anal-ysis (Czogiel et al., 2007) is already available. Now, three more local classification methods
Results 1 - 10
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748
