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Results 11 - 20
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10,416
The faculty of language: what is it, who has it, and how did it evolve?
- Science,
, 2002
"... We argue that an understanding of the faculty of language requires substantial interdisciplinary cooperation. We suggest how current developments in linguistics can be profitably wedded to work in evolutionary biology, anthropology, psychology, and neuroscience. We submit that a distinction should ..."
Abstract
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Cited by 472 (7 self)
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conserved developmental systems that read an (almost) universal language encoded in DNA base pairs. As such, life is arranged hierarchically with a foundation of discrete, unblendable units (codons, and, for the most part, genes) capable of combining to create increasingly complex and virtually limitless
The DLV System for Knowledge Representation and Reasoning
- ACM Transactions on Computational Logic
, 2002
"... Disjunctive Logic Programming (DLP) is an advanced formalism for knowledge representation and reasoning, which is very expressive in a precise mathematical sense: it allows to express every property of finite structures that is decidable in the complexity class ΣP 2 (NPNP). Thus, under widely believ ..."
Abstract
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Cited by 456 (102 self)
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programming methodology which allows one to encode complex problems (up to ∆P 3-complete problems) in a declarative fashion. On the foundational side, we provide a detailed analysis of the computational complexity of the language of
Error Control and Concealment for Video Communication -- A Review
- PROCEEDINGS OF THE IEEE
, 1998
"... The problem of error control and concealment in video communication is becoming increasingly important because of the growing interest in video delivery over unreliable channels such as wireless networks and the Internet. This paper reviews the techniques that have been developed for error control a ..."
Abstract
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Cited by 438 (13 self)
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The problem of error control and concealment in video communication is becoming increasingly important because of the growing interest in video delivery over unreliable channels such as wireless networks and the Internet. This paper reviews the techniques that have been developed for error control
Approaches to the Input-Output Encoding Problem in Boolean Decomposition
, 1996
"... Abstract So far, very little has been published in the literature on the encoding problem that occurs in functional (Curtis, Roth-Karp) decomposition. In particular, the encoding techniques used to optimize the decomposition of functions for this problem have tried to optimize only the predecessor o ..."
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Abstract So far, very little has been published in the literature on the encoding problem that occurs in functional (Curtis, Roth-Karp) decomposition. In particular, the encoding techniques used to optimize the decomposition of functions for this problem have tried to optimize only the predecessor
Planning as heuristic search,
- 5 – 33, ISSN
, 2001
"... Abstract In the AIPS98 Planning Contest, the HSP planner showed that heuristic search planners can be competitive with state-of-the-art Graphplan and SAT planners. Heuristic search planners like HSP transform planning problems into problems of heuristic search by automatically extracting heuristics ..."
Abstract
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Cited by 421 (33 self)
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heuristics from Strips encodings. They differ from specialized problem solvers such as those developed for the 24-Puzzle and Rubik's Cube in that they use a general declarative language for stating problems and a general mechanism for extracting heuristics from these representations. In this paper, we
An Output Encoding Problem and a Solution Technique
- Proc. ICCAD-97
, 1997
"... We present a new output encoding problem as follows: Given a specification table, such as a truth table or a finite state machine state table, where some of the outputs are specified in terms of 1’s, 0’s and don’t cares, and others are specified symbolically, and assuming that the minimum number of ..."
Abstract
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Cited by 2 (1 self)
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We present a new output encoding problem as follows: Given a specification table, such as a truth table or a finite state machine state table, where some of the outputs are specified in terms of 1’s, 0’s and don’t cares, and others are specified symbolically, and assuming that the minimum number
An Output Encoding Problem and a Solution Technique
- Proc. ICCAD-97
, 1997
"... We present a new output encoding problem as follows: Given a specification table, such as a truth table or a finite state machine state table, where some of the outputs are specified in terms of 1's, 0's and don't cares, and others are specified symbolically, and assuming that the min ..."
Abstract
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We present a new output encoding problem as follows: Given a specification table, such as a truth table or a finite state machine state table, where some of the outputs are specified in terms of 1's, 0's and don't cares, and others are specified symbolically, and assuming
Distributed representations, simple recurrent networks, and grammatical structure
- Machine Learning
, 1991
"... Abstract. In this paper three problems for a connectionist account of language are considered: 1. What is the nature of linguistic representations? 2. How can complex structural relationships such as constituent structure be represented? 3. How can the apparently open-ended nature of language be acc ..."
Abstract
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Cited by 401 (17 self)
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Abstract. In this paper three problems for a connectionist account of language are considered: 1. What is the nature of linguistic representations? 2. How can complex structural relationships such as constituent structure be represented? 3. How can the apparently open-ended nature of language
Combining Genetic Algorithms and Neural Networks: The Encoding Problem
, 1994
"... Neural networks and genetic algorithms demonstrate powerful problem solving ability. They are based on quite simple principles, but take advantage of their mathematical nature: non-linear iteration. Neural networks with backpropagation learning showed results by searching for various kinds of functi ..."
Abstract
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Cited by 15 (1 self)
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Neural networks and genetic algorithms demonstrate powerful problem solving ability. They are based on quite simple principles, but take advantage of their mathematical nature: non-linear iteration. Neural networks with backpropagation learning showed results by searching for various kinds
Picola: A Novel Column Based Algorithm for Partial Input Encoding Problems
, 1998
"... Recently different design tasks have been formulated as problems of encoding of symbols but restricted to use a given number of binary variables (Partial Encoding Problems). Up to now specific approaches have been developed only for one type of partial encoding problem: the Partial Input Encoding (P ..."
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Recently different design tasks have been formulated as problems of encoding of symbols but restricted to use a given number of binary variables (Partial Encoding Problems). Up to now specific approaches have been developed only for one type of partial encoding problem: the Partial Input Encoding
Results 11 - 20
of
10,416
