symbolic representations
Convolution-based classification of audio and symbolic representations of music
... and symbolic repre- sentations of music, which we apply to classification of music by ...pitch–time representations (spectrograms or piano-rolls), and then convolved with a Gaussian filter, before being ...
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Understanding of Macroscopic, Microscopic and Symbolic Representations Among Form Four Students in Solving Stoichiometric Problems
... Stoichiometry is one of the most basic topics in learning chemistry. Hence, understanding the concept of Stoichiometry is critical to solving chemistry problems. For example, a chemistry equation is the basic concept for ...
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Learning Symbolic Representations of Hybrid Dynamical Systems
... multi-modal symbolic regression (MMSR): a learning algorithm to construct non-linear symbolic representations of discrete dynamical systems with continuous mappings from unlabeled, time-series ...
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Correlating Neural and Symbolic Representations of Language
... the representations and functioning of neu- ral models of language are increasingly needed as deep learning becomes the dominant approach to natural language ...neural representations involves pre- dicting ...
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Word Recognition from Continuous Articulatory Movement Time series Data using Symbolic Representations
... Although still in experimental stage, articulation-based silent speech interfaces may have significant potential for facilitating oral communication in persons with voice and speech problems. An articulation-based silent ...
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Symbolic Representations versus Embodiment: A Test Using Semantic Neighbours and Iconicity
... perceptual processes, embodiment theories postulate that both are intertwined. Barsalou (1999), in his Perceptual Symbols Systems theory, states that during direct perceptual experience, sensorimotor regions of the brain ...
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Giving Adolescents a Voice? Using Videos to Represent Reproductive Health Realities of Adolescents in Tanzania
... that symbolic representations have the potential to create knowledge not only for policy and practice but also for science—as long as the research process, personal background, relationships and actions ...
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Review: Ecology of Virtual Realities
... Keywords: Ecology of virtual realities, Philosophy of information, binary approach, symbolic representations, architecture and design of virtual reality, augmented reality, cyberspace,[r] ...
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Evolution of communication and language using signals, symbols and words
... categorical representations [12] are useful to sort out the extensive perceptual variability of objects in the real ...called symbolic. Symbolic representation makes it possible for us to name and ...
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Stating the Obvious: Extracting Visual Common Sense Knowledge
... How can we discover that bowls can hold broc- coli, that if a knife touches a cake then a person is probably cutting cake, or that cutlery can be on dining tables? We propose to leverage the effort of computer vision ...
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Grounded Language Learning from Video Described with Sentences
... People learn language through exposure to a rich perceptual context. Language is grounded by mapping words, phrases, and sentences to mean- ing representations referring to the world. Siskind (1996) has shown that ...
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A New Form of Understanding Maps: Multiple Representations with Pirie and Kieren Model of Understanding
... In the second question, ingredients to make a cake for five people were given and the proportion of each ingredient was requested for making a cake for fifteen people. It was related with finding the multiplication of a ...
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Mining linguistic tone patterns with symbolic representation
... efficient symbolic representations for speech prosody time-series similarity ...both symbolic and numeric representations and distance measures in a series of time-series classification and ...
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Deep neural networks with voice entry estimation heuristics for voice separation in symbolic music representations
... “Deep neural networks with voice entry estimation heuristics for voice separation in symbolic music representations”, 19th International Society for Music Information Retrieval Conferenc[r] ...
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Attentive Tensor Product Learning
... In this paper, we propose a novel ATPL approach to nat- ural language generation and related tasks. The model has a novel architecture motivated by insights derived from the use of Tensor Product Representations ...
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Lacklustre offering plates? Symbolic food consumption, ritual and representations in ancient Egyptian funerary culture
... this object has no firm provenance. Its date of manufacture and its use are unknown (infra). Nevertheless, the aim of the current study is to discuss the Sitz im Leben (place in life) this object might have had in ...
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Structuring lute tablature and MIDI data: Machine learning models for voice separation in symbolic music representations
... the length of the decision window. Approaches that explore the state space in a dynamic and adaptive way may thus be preferred over exhaustive search here. Fourth, with regard to the bidirectional model used in MA1, it ...
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EFFICIENT SCHEDULING OF WORKFLOW IN CLOUD ENVIORNMENT USING BILLING MODEL AWARE TASK CLUSTERING
... In this paper, we have proposed a new method of the symbolic data conversion in anomaly intrusion detection by utilizing the knowledge- based to replace a symbolic feature with the risk values. This study ...
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Error Correction for Symbolic and Hybrid Symbolic-Numeric Sparse Interpolation Algorithms.
... of symbolic computation, the choice of polynomial basis was recognized: (x − 2) 100 + 1 is a concise representation of a polynomial with 101 terms in power basis ...a symbolic variable z throughout the ...
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Bridging Knowledge Gaps in Neural Entailment via Symbolic Models
... Figure 2 : Neural-symbolic learning in NSnet. The bottom layer has QA and their supporting text in SciTail, and the knowledge base (KB). The middle layer has three modules: Neural Entailment (blue) and ...
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