181 |
EFFECTIVE TECHNICAL COMMUNICATIONS MECHANICAL DESCRIPTION-EXPERIMENT III.
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In: DTIC AND NTIS (1966)
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183 |
RUSSIAN STENOTYPE EQUIPMENT. VOLUME IV. INSTRUCTOR'S TRAINING MANUAL FOR RUSSIAN STENOTYPE.
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In: DTIC AND NTIS (1966)
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184 |
DEVELOPMENTS IN THE VETERANS ADMINISTRATION RESEARCH PROGRAM ON AIDS FOR THE BLIND.
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In: DTIC AND NTIS (1964)
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185 |
PROGRAMMING METHOD AND RESPONSE MODE IN A VISUAL ORAL TASK.
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In: DTIC AND NTIS (1964)
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186 |
A NEW CONCEPT IN ARTIFICIAL INTELLIGENCE
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In: DTIC AND NTIS (1963)
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187 |
COMPLEXITY OF TYPOGRAPHICAL CUEING IN PROGRAMED AND CONVENTIONAL TEXTS
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In: DTIC AND NTIS (1963)
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188 |
COHERENT LANGUAGE: AN EXPERIMENT IN LINGUISTIC CATEGORIZATION
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In: DTIC AND NTIS (1963)
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189 |
Some References Related to Air Force Activities in Programmed Learning.
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In: DTIC AND NTIS (1962)
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190 |
STUDIES OF PATTERN-PERCEIVING AND LEARNING NETWORKS
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In: DTIC AND NTIS (1961)
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191 |
Teaching Machines and Their Applications. Supplement
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In: DTIC AND NTIS (1961)
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192 |
NCCU-MIG at NTCIR-10: Using Lexical, Syntactic, and Semantic Features for the RITE Tasks
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings10/pdf/NTCIR/RITE/07-NTCIR10-RITE2-HuangW.pdf
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193 |
Tornado in Multilingual Opinion Analysis: A Transductive Learning Approach for Chinese Sentimental Polarity Recognition
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings7/pdf/NTCIR7/C2/MOAT/18-NTCIR7-MOAT-WuY.pdf
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194 |
www.elsevier.com/locate/pr Robust and efficient multiclass SVM models for phrase pattern recognition
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In: http://in1.csie.ncu.edu.tw/~yangjc/paper/2008_PR_Wu.pdf
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195 |
Multilingual Text Classification through Combination of Monolingual Classifiers
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In: http://ceur-ws.org/Vol-605/paper3.pdf
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196 |
Turing Machines and Recursive Turing Tests
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In: http://www.csse.monash.edu.au/~dld/Publications/2012/Hernandez-OralloInsa-CabreraDoweHibbard_TuringMachinesAndRecursiveTuringTests_AISB_IACAP_JointConference_CelebratingTheTuringYear_Birmingham_July2012_6pp.pdf
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Abstract:
Abstract. The Turing Test, in its standard interpretation, has been dismissed by many as a practical intelligence test. In fact, it is questionable that the imitation game was meant by Turing himself to be used as a test for evaluating machines and measuring the progress of artificial intelligence. In the past fifteen years or so, an alternative approach to measuring machine intelligence has been consolidating. The key concept for this alternative approach is not the Turing Test, but the Turing machine, and some theories derived upon it, such as Solomonoff’s theory of prediction, the MML principle, Kolmogorov complexity and algorithmic information theory. This presents an antagonistic view to the Turing test, where intelligence tests are based on formal principles, are not anthropocentric, are meaningful computationally and the abilities (or factors) which are evaluated can be recognised and quantified. Recently, however, this computational view has been touching upon issues which are somewhat related to the Turing Test, namely that we may need other intelligent agents in the tests. Motivated by these issues (and others), this paper links these two antagonistic views by bringing some of the ideas around the Turing Test to the realm of Turing machines.
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Keyword:
imitation games; intelligence; learning; Turing machines; Turing Test
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URL: http://www.csse.monash.edu.au/~dld/Publications/2012/Hernandez-OralloInsa-CabreraDoweHibbard_TuringMachinesAndRecursiveTuringTests_AISB_IACAP_JointConference_CelebratingTheTuringYear_Birmingham_July2012_6pp.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.296.1937
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197 |
Turing Tests with Turing Machines
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In: http://users.dsic.upv.es/%7Eflip/papers/Turing100.pdf
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198 |
Turing Machines and Recursive Turing Tests
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In: http://users.dsic.upv.es/%7Eflip/papers/AISB-AICAP2012b.pdf
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199 |
JAIST Participation at NTCIR-10 RITE-2
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In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings10/pdf/NTCIR/RITE/04-NTCIR10-RITE2-PhamM.pdf
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A Hybrid approach for biomedical relation extraction using finite state automata and random forest-weighted fusion
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