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Weight Constraints as Nested Expressions
 In
, 2000
"... We compare two recent extensions of the answer set (stable model) semantics of logic programs. One of them, due to Lifschitz, Tang and Turner, allows the bodies and heads of rules to contain nested expressions. The other, due to Niemela and Simons, uses weight constraints. We show that there is ..."
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Cited by 13 (1 self)
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We compare two recent extensions of the answer set (stable model) semantics of logic programs. One of them, due to Lifschitz, Tang and Turner, allows the bodies and heads of rules to contain nested expressions. The other, due to Niemela and Simons, uses weight constraints. We show
Nested Weight Constraints in ASP ⋆
"... Abstract. Weight constraints are a powerful programming construct that has proved very useful within the Answer Set Programming paradigm. In this paper, we argue that practical Answer Set Programming might take profit from introducing some forms of nested weight constraints. We define such empowered ..."
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Abstract. Weight constraints are a powerful programming construct that has proved very useful within the Answer Set Programming paradigm. In this paper, we argue that practical Answer Set Programming might take profit from introducing some forms of nested weight constraints. We define
Weighted Constraints in Generative Linguistics
 Cognitive Science
, 2009
"... Harmonic Grammar (HG) and Optimality Theory (OT) are closely related formal frameworks for the study of language. In both, the structure of a given language is determined by the relative strengths of a set of constraints. They differ in how these strengths are represented: as numerical weights (HG) ..."
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Cited by 21 (3 self)
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Harmonic Grammar (HG) and Optimality Theory (OT) are closely related formal frameworks for the study of language. In both, the structure of a given language is determined by the relative strengths of a set of constraints. They differ in how these strengths are represented: as numerical weights (HG
Understanding the Impact of Weights Constraints
 in Portfolio Theory, Working Paper, ssrn.com/abstract=1761625
, 2011
"... In this article, we analyze the impact of weights constraints in portfolio theory using the seminal work of Jagannathan and Ma (2003). They show that solving the global minimum variance portfolio problem with some constraints on weights is equivalent to use a shrinkage estimate of the covariance mat ..."
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Cited by 4 (4 self)
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In this article, we analyze the impact of weights constraints in portfolio theory using the seminal work of Jagannathan and Ma (2003). They show that solving the global minimum variance portfolio problem with some constraints on weights is equivalent to use a shrinkage estimate of the covariance
Weight Constraint Programs with Functions
"... Abstract. In this paper we consider a new class of logic programs, called weight constraint programs with functions, which are lparse programs incorporating functions over nonHerbrand domains. We define answer sets for these programs and develop a computational mechanism based on loop completion. W ..."
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Cited by 1 (0 self)
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Abstract. In this paper we consider a new class of logic programs, called weight constraint programs with functions, which are lparse programs incorporating functions over nonHerbrand domains. We define answer sets for these programs and develop a computational mechanism based on loop completion
Robust Parsing with Weighted Constraints
 NATURAL LANGUAGE ENGINEERING
, 2003
"... Based on constraint optimization techniques an architecture for robust parsing of natural language utterances has been developed. The resulting system is able to combine possibly contradicting evidence from a variety of information sources, using a plausibilitybased arbitration procedure to derive ..."
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Cited by 18 (1 self)
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Based on constraint optimization techniques an architecture for robust parsing of natural language utterances has been developed. The resulting system is able to combine possibly contradicting evidence from a variety of information sources, using a plausibilitybased arbitration procedure to derive
Sequence Alignment with Weighted Constraints
"... Given two sequences S1, S2 and a constrained sequence C, the longest common subsequence of S1, S2 with restriction to C is defined as the constrained longest common subsequence (CLCS) of S1, S2 and C. At the same time, the best alignment of S1, S2 with restriction to C is defined as the constrained ..."
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Cited by 1 (1 self)
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the number of ignored constraints is allowed to a degree d and time complexity increases to O(drnm). In this paper, we extend the definition of CPSA to another version, called weighted CPSA (WCPSA), and show that WCPSA can not only be solved in O(rnm) time but also allow ignoring constraints by setting
Positional weight constraints in OT
"... Certain prosodic positions such as wordinitial syllables and the root are inherently stronger than others. The strength of these positions is manifested in several ways, including, among others, the attraction of stress (see, for example, Hyman 1977 on initial ..."
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Certain prosodic positions such as wordinitial syllables and the root are inherently stronger than others. The strength of these positions is manifested in several ways, including, among others, the attraction of stress (see, for example, Hyman 1977 on initial
Locally weighted learning
 ARTIFICIAL INTELLIGENCE REVIEW
, 1997
"... This paper surveys locally weighted learning, a form of lazy learning and memorybased learning, and focuses on locally weighted linear regression. The survey discusses distance functions, smoothing parameters, weighting functions, local model structures, regularization of the estimates and bias, ass ..."
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Cited by 594 (53 self)
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This paper surveys locally weighted learning, a form of lazy learning and memorybased learning, and focuses on locally weighted linear regression. The survey discusses distance functions, smoothing parameters, weighting functions, local model structures, regularization of the estimates and bias
Results 1  10
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826,036