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Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter
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In: DTIC (2012)
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| 82 |
Über die Vielseitigkeit von Systemtheorien: Grundfragen soziokybernetischer Forschung
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In: Die Natur der Gesellschaft: Verhandlungen des 33. Kongresses der Deutschen Gesellschaft für Soziologie in Kassel 2006. Teilbd. 1 u. 2 ; 4611-4617 ; Kongress "Die Natur der Gesellschaft" ; 33 (2012)
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| 84 |
Incremental Syntactic Language Models for Phrase-Based Translation
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In: DTIC (2011)
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| 85 |
Manifold Matching: Joint Optimization of Fidelity and Commensurability
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In: DTIC (2011)
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| 86 |
A Novel Approach for Combat Vehicle Mobility Definition and Assessment
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In: DTIC (2011)
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| 87 |
Defining and Demonstrating Capabilities for Experience-Based Narrative Memory
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In: DTIC (2011)
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| 88 |
Representing and Reasoning with Functional Knowledge for Spatial Language Understanding
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In: DTIC (2011)
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| 89 |
CSSG: Learning within NLP Pipelines for Scalable Data Mining and Information Extraction
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In: DTIC (2011)
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| 90 |
Language and Cognition Interaction Neural Mechanisms
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In: DTIC (2011)
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| 92 |
Synthesis of Systemic Functional Theory & Dynamical Systems Theory for Socio-Cultural Modeling
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In: DTIC (2011)
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| 93 |
Emergent Intelligent Behavior through Integrated Investigation of Embodied Natural Language, Reasoning, Learning, Computer Vision, and Robotic Manipulation
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In: DTIC (2011)
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| 94 |
Trends in Human-Computer Interaction to Support Future Intelligence Analysis Capabilities
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In: DTIC (2011)
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| 96 |
Simulation als Methode des Trainings pädagogischen Verhaltens
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| 97 |
Whose fly is this? and the beginning of Moscow linguistic conceptualism : text and image in the early works of Ilya Kabakov (1962-1966)
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| 100 |
Maritime Domain Awareness via Agent Learning and Collaboration
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In: DTIC (2010)
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Abstract:
Maritime security is vital to US security. Enhanced Maritime Domain Awareness (MDA) of potential threats in this dynamic environment can be achieved, yet requires integrated analysis from numerous sources in real time. We will present a learning agent technology that integrates structured and unstructured data and discovers behavior patterns from varied sources such as Automatic Information Systems (AIS), Coast Guard, and police contextual information including: maritime commercial activities, weather, terrain, environmental conditions, maritime incidents, casualties, and military exercises. These discovered patterns can help correlate warnings and reduce false alarms in support of maritime security. We will show our test results from the Trident Warrior (TW08) exercise. We will also discuss the agent learning applied to system self-awareness, where we consider that the cognitive interface between decision makers and a complex system may be expressed in a range of terms or "features," i.e. specific vocabulary to describe a System of Systems (SoS) or so-called Lexical Link Analysis (LLA). MDA is an extremely varied and dynamic SoS, requiring constant collaboration and decision making. We will discuss prototypes of agent learning and collaboration, LLA, and visualization that provide real-time "views" of SoS to support large-scale decision making for MDA technology acquisition, irregular warfare at sea, and intelligence collection with analysis automation. ; Presented at 15th ICCRTS, International Command and Control, Research and Technology Symposium, Santa Monica, California, June 22-24, 2010.
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Keyword:
*DATA FUSION; *DECISION SUPPORT SYSTEMS; *OCEAN SURVEILLANCE; *SITUATIONAL AWARENESS; BRIEFING CHARTS; Cybernetics; FIELD TESTS; FLEET EXERCISES; INFORMATION RETRIEVAL; KNOWLEDGE MANAGEMENT; LEARNING AGENT TECHNOLOGY; LEARNING MACHINES; LLA(LEXICAL LINK ANALYSIS); MDA(MARITIME DOMAIN AWARENESS); Military Intelligence; Naval Surface Warfare; PATTERN RECOGNITION; SOFTWARE TOOLS; SOS(SYSTEM OF SYSTEMS); SYMPOSIA; Undersea and Antisubmarine Warfare
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA525250
http://www.dtic.mil/docs/citations/ADA525250
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