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Constructing Nominal XofN Attributes
 Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence
, 1995
"... Most constructive induction researchers focus only on new boolean attributes. This paper reports a new constructive induction algorithm, called XofN, that constructs new nominal attributes in the form of XofN representations. An XofN is a set containing one or more attributevalue pairs. For a g ..."
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Cited by 15 (6 self)
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Most constructive induction researchers focus only on new boolean attributes. This paper reports a new constructive induction algorithm, called XofN, that constructs new nominal attributes in the form of XofN representations. An XofN is a set containing one or more attributevalue pairs. For a
Constructing Nominal XofN Attributes
"... Most constructive induction researchers focus only on new boolean attributes This paper reports a new constructive induction algorithm, called XofN, that constructs new nominal attributes in the form of XofN representations An XofN is a Bet containing one or more attributevalue pairs For a give ..."
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Most constructive induction researchers focus only on new boolean attributes This paper reports a new constructive induction algorithm, called XofN, that constructs new nominal attributes in the form of XofN representations An XofN is a Bet containing one or more attributevalue pairs For a
Continuousvalued XofN Attributes Versus Nominal XofN Attributes for Constructive Induction: A Case Study
 for Young Computer Scientists, Peking University
, 1995
"... : An XofN is a set containing one or more attributevalue pairs. For a given instance, its value corresponds to the number of its attributevalue pairs that are true. In this paper, we explore the characteristics and performance of continuousvalued XofN attributes versus nominal XofN attribute ..."
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Cited by 5 (4 self)
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: An XofN is a set containing one or more attributevalue pairs. For a given instance, its value corresponds to the number of its attributevalue pairs that are true. In this paper, we explore the characteristics and performance of continuousvalued XofN attributes versus nominal XofN
Constructing XofN Attributes for Decision Tree Learning
 Machine Learning
, 1998
"... . While many constructive induction algorithms focus on generating new binary attributes, this paper explores novel methods of constructing nominal and numeric attributes. We propose a new constructive operator, XofN. An XofN representation is a set containing one or more attributevalue pairs. ..."
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Cited by 20 (0 self)
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. While many constructive induction algorithms focus on generating new binary attributes, this paper explores novel methods of constructing nominal and numeric attributes. We propose a new constructive operator, XofN. An XofN representation is a set containing one or more attributevalue pairs
The Determinants of Credit Spread Changes.
 Journal of Finance
, 2001
"... ABSTRACT Using dealer's quotes and transactions prices on straight industrial bonds, we investigate the determinants of credit spread changes. Variables that should in theory determine credit spread changes have rather limited explanatory power. Further, the residuals from this regression are ..."
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Cited by 422 (2 self)
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spreads, with most of the remainder attributable to a single systematic factor. Similarly, Duffie and Singleton (1999) find that both creditrisk and liquidity factors are necessary to explain innovations in U.S. swap rates. However, when analyzing the residuals they are unable to find explanatory factors
Constructing XofN attributes with a genetic algorithm
 In Proc. of the Genetic and Evolutionary Computation Conference
, 2002
"... The predictive accuracy obtained by a classification algorithm is strongly dependent on the quality of the attributes of the data being mined. When the attributes are little relevant for predicting the class of a record, the predictive accuracy will tend to be low. To combat this problem, a natural ..."
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Cited by 3 (0 self)
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. A more expressive representation is XofN [Zheng 1995]. An XofN condition consists of a set of N attributevalue pairs. The value of an XofN condition for a given example
Improved Use of Continuous Attributes in C4.5
 Journal of Artificial Intelligence Research
, 1996
"... A reported weakness of C4.5 in domains with continuous attributes is addressed by modifying the formation and evaluation of tests on continuous attributes. An MDLinspired penalty is applied to such tests, eliminating some of them from consideration and altering the relative desirability of all test ..."
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Cited by 281 (1 self)
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values are numeric, and discrete attributes with unordered nominal values. For example, the de...
Improved heterogeneous distance functions
 Journal of Artificial Intelligence Research
, 1997
"... Instancebased learning techniques typically handle continuous and linear input values well, but often do not handle nominal input attributes appropriately. The Value Difference Metric (VDM) was designed to find reasonable distance values between nominal attribute values, but it largely ignores cont ..."
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Cited by 290 (9 self)
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Instancebased learning techniques typically handle continuous and linear input values well, but often do not handle nominal input attributes appropriately. The Value Difference Metric (VDM) was designed to find reasonable distance values between nominal attribute values, but it largely ignores
Learning Trees and Rules with Setvalued Features
, 1996
"... In most learning systems examples are represented as fixedlength "feature vectors", the components of which are either real numbers or nominal values. We propose an extension of the featurevector representation that allows the value of a feature to be a set of strings; for instance, to re ..."
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Cited by 210 (2 self)
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In most learning systems examples are represented as fixedlength "feature vectors", the components of which are either real numbers or nominal values. We propose an extension of the featurevector representation that allows the value of a feature to be a set of strings; for instance
A decomposition storage model
 PROCEEDINGS OF THE 1985 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA
, 1985
"... This report examines the relative advantages of a storage model based on decomposition (of community view relations into binary relations containing a surrogate and one attribute) over conventional nary storage models.
There seems to be a general consensus among the database community that the na ..."
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Cited by 192 (0 self)
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This report examines the relative advantages of a storage model based on decomposition (of community view relations into binary relations containing a surrogate and one attribute) over conventional nary storage models.
There seems to be a general consensus among the database community that the n
Results 1  10
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