| 词汇 | example_english_computational |
| 释义 | Examples of computationalThese examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. A unique, but difficulty observed conformer, computational methodology overestimates its stability and might have led to its discovery by misrepresentation. Without the microscope of mathematical methods and computational power, the insight given by the clustered image map could not be achieved. The unmasked scaffolds were run through the computational annotation pipeline, and the preliminary gene models were aligned to this genomic sequence. The further use of a computational approach to identify the transcription regulatory pattern was also not illuminating. Thus, while human intelligence can include various computational competencies, it cannot be reduced to them. A variety of other computational modes would have been possible. The task of the nervous system was seen to be a computational one. Do we really want to say that all we ever learn we knew before- even if we are saying this in some technical" computational" sense? Our approach to identifying genes and exons is more heavily transcript-based, with the presumption that pure computational gene prediction may still have substantial false-negative rates. The second possibility is that, although the computational predictions described here are correct, whereas the original ones are wrong, the experimental evidence is also solid. What are the solutions to this clash between computational and experimental evidence? In fact, we still have no widely accepted computational theories of how the cortex works. Our computational results suggest that this may indeed be the case. The more flexible the action, the more complex must be the computational resources for monitoring, planning, and scheduling different types of activity. In sum, computational ideas are in principle relevant to the psychology of animals, and to their phenomenology too. All this makes computational chemistry an important field for the future. Additionally, one might be interested in representations with fast algorithms for computational efficiency. Shape grammars were created to explain, in a computational and visually understandable way, how designs are generated within a particular design language. Deriving a component basis for computational functional synthesis. Drawing marks, acts, and reacts: toward a computational sketching interface for architectural design. Curve-fitting and nonlinear regression techniques are used to formulate the computational aesthetics. In the pharmaceutical industry, computational biology involves the modeling of biomolecular systems. The computational neutron yield, and the delay of the neutron generation time are in good agreement with the experimental data. Such dissimilarity derived from insufficient uniformity of the target drive, thus resulting in a number of investigations, both computational and experimental. A fragment of the solution with one magnetoacoustic shock is picked out and the computational domain is extended to the necessary size. Turning to the developing mental lexicon, computational studies suggest that the mental representation of words may not parallel that of the fully developed lexicon. On the other hand, computational social choice is concerned with importing concepts from social choice theory into computing. Furthermore, computational overheads occur during support counting of candidate itemsets. Further, results from computational learning theory can inform arguments carried on within linguistic theory as well. Engineering-oriented computational linguistics is the study of methods for the construction or improvement of useful artifacts that manipulate natural language. In a concise introduction to the volume, the editors list areas in which computational modelling can contribute to the field of language acquisition. Even on tasks with clear computational limitations, some subjects from the lowest strata of cognitive ability solved the problem. Impulsivity is normally associated with allocating insufficient cognitive resources to a task, hence with reduced rather than increased computational power. Without this key piece of knowledge, how can we even begin to model the computational processes of perception in neurophysiological terms? The explanation offered is crucially in terms of the prelinguistic (perceptual, mnemonic, computational constraints, allegedly supported by neurobiological data). The objective of psychology, in the prevalent computational view of mind, is to study how human subjects process information. He also refers to "tacit" knowledge, a form of knowledge that is embedded in the procedures of the computational device. Because the model is underconstrained, it is difficult to identify what class of computational systems are subsumed within the dynamics of the field equations. However, behaviour is embodied within a specific physical body that has its own physical and computational constraints. Indeed, our computational studies suggest that various approximations would be needed if applied to large networks and complex environments. A system with uniformly reduced computational resources does not have the luxury of allocating functions to different components. In what follows, we explore potential answers to these questions by examining computational models of cognitive development. Their performance is best interpreted in terms of computational limitations and performance errors. Errors can be interpreted as the result of computational limitations. Thus, they too acknowledge the importance of assessing computational limitations. System 2 encompasses the processes of analytic intelligence that have traditionally been studied by information processing theorists trying to uncover the computational components underlying intelligence. At the algorithmic level the key issue is one of computational efficiency, whereas issues of rationality arise at the intentional level. They would treat many instances of what we term computational limitations as performance errors. His research interests include knowledge-based systems, casebased reasoning, cognitive science, ar tificial intelligence, computational complexity, information theory, product design and development, and operations research. Finally, the last par t reviews relevant computational sketching programs. In order to build useful computational sketching tools for design, we must identify the dimensions of sketching. We have implemented several prototype systems to suppor t computational sketching. Thus, for a simple design with a single attribute but many functions!, we reduce problem size, and hence computational effor t, to 2 6functions6. 2! They also provide the results of computational experiments. The model addresses representational, computational, and neural aspects of the two language capacities. Modern connectionism has offered a computational framework for the single mechanism view. Computational modeling of word reading, acquired dyslexia, and remediation. Production rules marked for language would account for the computational problem of how bilingual speakers manage to keep the languages separate in monolingual conversation. A computational approach to dyslexic reading and spelling. Concerning computational complexity, there are two possible measures. Knowing that we can use symmetry reduction to find the extremal solutions with reduced computational cost, we want to estimate the improvement. The notion of packing plays an important role in the investigation of computational complexity of graph properties. In all these papers a very strong computational model has been used. Of course, being syntactic is a severe restriction on the computational power of r-n. b. p. Moreover, if the processor were damaged, it seems that one would lose all propositional computational abilities at once. Furthermore, the phenomenology of skill acquisition is a poor guide to the nature of those computational processes. We point to problems with both the verbal description of this mechanism and its computational implementation in the simulation. The purpose of a computational model is to provide a coherent perspective on a complex set of empirical results and generate new hypotheses. We refer to this difficult computational problem as the "hard problem". An interchange between computational modeling and empirical research may in the long run provide conclusive answers to many important questions within bilingualism research. Secondly, the computational tool allows the user to determine the order in which data are entered. First, the models, both theoretical and computational, have consistently assumed separable preferences. A summary of the general method and its effective computational implementation is also given. Detailed numerical experiments and computational case studies illustrate applicability of the proposed methodology. We display some computational results in 6 and finally we present some conclusions in 7. Their computations use the axial symmetry to reduce the computational complexity, while the numerical method described herein does not use any symmetry. If optimization theory is regarded as a competence theory, it should not include computational costs. In chess, for example, a computational theory of the problem will hardly help to specify the players' decision processes. We study the new instabilities described by these nonlinearities using both analytical and computational methods. A conventional neural network has limitations of computational power. Indeed, it is always possible to devise a problem which demands more computational capacity than is available to subjects and to elicit systematic errors. They falsify models that attempt to explain the normative/ descriptive gap entirely in terms of computational limitations and random performance errors. Premise 2 is almost universally accepted, too, and has been since the early days of computational modeling of vision. In this story, the links between conscious representations are computational, rather than merely associative, because they are mediated by connection weight representations. In the case considered here, the computational domain is rectangular (figure 8), a case for which efficient solvers are available. I n any event, at the present time, available computer resources are insufficient to support the computational effort necessary to deal with this general case. Initially, only one computational domain was required, spanning the composite solid region. Consequently, this computational work does not attempt to model transition induced by discrete suction. Results from the application of this computational method to real-scale suction surfaces under flight conditions are also presented. I n comparing the proposed technique with existing methods, factors such as computational effort, accuracy, and computational speed should be considered. Figure 12 shows a computational result for the packet that evolves out of a single hairpin-like initial disturbance. The computational domain is discretized with about 15 x 106 grid points. Considering the arguments presented in the previous paragraph, two parameter sets were chosen for computational investigation. Computational methods and methods of mean field electrodynamics are used to study the integral characteristics of magnetic flux penetration through a convective layer. At high selfing rates and when a b, element number increases to the computational limits of simulation. 208 aimed at the simultaneous improvement of the precision of the model and computational efficiency. Whereas a lower-order approximation may lead to system errors, a higher-order approximation demands substantial computational load. The third problem of high computational costs is partly due to the size of matrix to be inverted. The computational intensity, however, increases rapidly with the number of parameters to be estimated simultaneously. These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. |
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