Winston, P. H., 1975. Learning structural descriptions from examples, The Psychology of Computer Vision (P. H. Winston, ed.), New York: McGraw-Hill, 157-209. Home/Search Document Not in Database Summary Related Articles Check |
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A Computational Model for the Data - Compression Metaphor Chris (Correct)
....i.e. any alteration which causes the concept to cover a greater number of entities. This satisfies the intuition that the generalisation of a concept must correspond to a broadening of its applicability. The classic AI model for the method of inductive generalisation is Winston s ARCH program [19,20]. This program was capable of learning concepts from examples describing certain types of geometric structure. It employed specialisation as well as inductive generalisation. However, the two processes are kept separate in the model. A rationalisation of Winston s program has been provided by ....
Winston, P. (1975). Learning structural descriptions from examples. In P. Winston (Ed.), The Psychology of Computer Vision. Mcgraw-Hill.
A Computational Model for the Data - Compression Metaphor Chris (Correct)
....i.e. any alteration which causes the concept to cover a greater number of entities. This satisfies the intuition that the generalisation of a concept must correspond to a broadening of its applicability. The classic AI model for the method of inductive generalisation is Winston s ARCH program [19,20]. This program was capable of learning concepts from examples describing certain types of geometric structure. It employed specialisation as well as inductive generalisation. However, the two processes are kept separate in the model. A rationalisation of Winston s program has been provided by ....
Winston, P. (1970). Learning structural descriptions from examples. AITR -231, Ph.D thesis, Cambridge, Mass.: MIT AI Lab.
Neural Networks versus Artificial Intelligence: - The Phoney War (Correct)
.... But following Minsky and Papert s exhaustive evaluation of the theoretical properties of the perceptron [1] the subsymbolic paradigm sank back while the symbolic paradigm came to the fore with systems such as Evans analogy solving program [2] and later Winston s work on learning and vision [3, 4]. All through the 70s the symbolic paradigm was in a leading position but towards the end of the decade the subsymbolic paradigm began to show a marked increase in activity and in the early years of the next decade (the 80s) we saw the development of, first, the Boltzmann machine learning ....
Winston, P. (1975). Learning structural descriptions from examples. In P. Winston (Ed.), The Psychology of Computer Vision. Mcgraw-Hill.
Neural Networks versus Artificial Intelligence: - The Phoney War (Correct)
.... But following Minsky and Papert s exhaustive evaluation of the theoretical properties of the perceptron [1] the subsymbolic paradigm sank back while the symbolic paradigm came to the fore with systems such as Evans analogy solving program [2] and later Winston s work on learning and vision [3, 4]. All through the 70s the symbolic paradigm was in a leading position but towards the end of the decade the subsymbolic paradigm began to show a marked increase in activity and in the early years of the next decade (the 80s) we saw the development of, first, the Boltzmann machine learning ....
Winston, P. (1970). Learning structural descriptions from examples. AITR -231, Ph.D thesis, Cambridge, Mass.: MIT AI Lab.
Techniques for Reverse-Engineering and Re-Engineering into the.. - Silva-Lepe (1994) (Correct)
....structures [2] are also related to the Demeter kernel model. Our abstraction algorithms can be adapted to abstract feature structures from examples (this was actually the starting point of our investigation) Other related work in the data base field is described in [1, 9, 63] Winston s work [67] is concerned with learning visual concepts in a world of 3 dimensional structures comprised of bricks, wedges, and other simple objects. A scene is represented by a semantic net with relations such as has part, supported by, in front of, a kind of, hasproperty of, etc. There are several ways in ....
P.H. Winston. Learning structural descriptions from examples. Technical Report 76, MIT, 1970. Project MAC.
Visualizing Interestingness - Di Fiore (2002) (Correct)
.... are normalization coefficients; 2) the scored patterns are shown to the user in the described manner so that he can decide, for each of them, whether to leave unchanged or to modify the default IR; 3) for each pattern selected by the user to be modified, some near misses (i.e. similar patterns [13]) are also shown to be validated; 4) this way a training set has been obtained, and can be submitted to the supervised component (in our system a back propagation neural network) which will estimate the function I i (U i ) by obtaining its coefficients: I i is the customized Interest Rate ....
Winston, P. H., Learning Structural Descriptions from Examples. The Psychology of Computer Vision, ed. P. H. Winston, McGraw-Hill Book Company: New York, pp. 157-209, 1975.
Computational Analagues of Constraints on Grammars: - Model Of Syntactic (Correct)
.... almost any language. Thus. enriching the input to admit negative evidence broadens the cla s of possibly learnable languages enormously. Explicit instruction and negative examples are often closely yaked. Compare the necessity for a benign teacher in Vlnston , blocks world learning program [6]. Of course, many rules lie beyond the current program s reach. PARSIFAL employed dual mechanisms to distinguish Noun Phrase and wh movements; at present, LPARSIFAL ha only a single device to handle all constituent movements. Lacking a distinguished facility to keep track of wh movements, ....
Winston. P.. 'Learning Structural Descriptions from Examples.' in P. Winston. editor. The Psychology of Computer Vision. ,New York: McGraw-Hill, 175.
A Model for Deliberation, Action, and Introspection - Doyle (1980) (1 citation) (Correct)
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Winston, P. H., 1975. Learning structural descriptions from examples, The Psychology of Computer Vision (P. H. Winston, ed.), New York: McGraw-Hill, 157-209.
The Algebraic Structure of Attributed Type Signatures - Penn (2000) (4 citations) (Correct)
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P. H. Winston. Learning structural descriptions from examples. In P. H. Winston, editor, The Psychology of Computer Vision, pages 157--209. McGrawHill, 1975.
Molecular Structure Databases - Darrell Conklin In (Correct)
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Winston, P. H. 1975. Learning structural descriptions from examples. In Winston, P. H., editor, The Psychology of Computer Vision. McGraw-Hill.
Parsing silhouettes: The short-cut rule - Singh, Seyranian, Hoffman (1999) (8 citations) (Correct)
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Winston, P. A. (1975). Learning structural descriptions from examples. In P. Winston (Ed.), The psychology of computer vision (pp. 157--209). New York: McGraw-Hill.
Force Histogramsand Neuralnetworks - For Human-Based Spatial (Correct)
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P. Winston, Learning structural descriptions from examples, in The psychology of computer vision (P. Winston, ed.; McGraw-Hill, New York, 1975).
Cognition 63 (1997) 29--78 - Salience Of Visual (1997) (Correct)
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Winston, P.A. (1975). Learning structural descriptions from examples. In P.H. Winston (Ed.), The psychology of computer vision (pp. 157--209). New York: McGraw-Hill.
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P. Winston. Learning structural descriptions from examples. In The Psychology of Computer Vision, chapter 5, pages 157--209. McGraw-Hill, 1975.
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H.P. Winston. Learning structural descriptions from examples. In H. P. Winston, editor, Phychology of Computer Vision. McGraw-Hill, 1975.
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Patrick Winston, "Learning Structural Descriptions from Examples", in The Psychology of Computer Vision, P. Winston (ed.), McGraw Hill, 1975.
Concepts and Autonomous Agents - Davidsson (1994) (1 citation) (Correct)
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P.H. Winston. Learning structural descriptions from examples. In P.H. Winston, editor, The Psychology of Computer Vision, pages 157--209. McGraw-Hill, 1975.
Recent Results on Boolean Concept Learning - Michael Kearns Ming (1987) (18 citations) (Correct)
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P. H. Winston. Learning Structural Descriptions from Examples. PhD thesis, in The Psychology of Computer Vision, McGraw-Hill, NY, 1975. 17
Inductive Inference Theory - A Unified Approach To Problems In.. - Solomonoff (1975) (1 citation) (Correct)
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Winston, P.H. "Learning Structural Descriptions from Examples", Report AI-TR231, Artificial Intelligence Lab., Mass. Inst. Technol., 1972.
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P. Winston and "Learning Structural Descriptions from Examples," in P. Winston (ed.), The Psychology of Computer Vision, McGraw-Hill , New York, 1975.
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P.H. Winston. Learning structural descriptions from examples. Technical Report 76, MIT, 1970. Project MAC.
Learning Mechanisms which Construct - Neighbourhood Representations Chris (Correct)
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Winston, P. (1975). Learning structural descriptions from examples. In P. Winston (Ed.), The Psychology of Computer Vision. Mcgraw-Hill.
Learning Mechanisms which Construct - Neighbourhood Representations Chris (Correct)
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Winston, P. (1970). Learning structural descriptions from examples. AITR -231, Ph.D thesis, Cambridge, Mass.: MIT AI Lab. 19
Understanding Line Drawings of Scenes with Shadows - Waltz (1975) (200 citations) (Correct)
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Winston, Patrick H.: "Learning Structural Descriptions from Examples," Ph.D. thesis, Massachusetts Institute of Technology, Cambridge, Mass., 1970 (included as Chap. 5 of this book).
Fuzzy Spatial Data Mining - George Brannon Smith (2002) (Correct)
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Winston, P. Learning Structural Descriptions from Examples, in The Psychology of Computer Vision, P. Winston, Ed. New York: McGrawHill, 1975.
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