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Identical parallel machine scheduling with time-dependent processing times
In: ISSN: 1879-2294 ; EISSN: 0304-3975 ; Theoretical Computer Science ; https://hal-utt.archives-ouvertes.fr/hal-02494256 ; Theoretical Computer Science, Elsevier, 2018, 721, pp.70-77. ⟨10.1016/j.tcs.2017.12.001⟩ (2018)
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2
ImproteK: introducing scenarios into human-computer music improvisation
In: ACM Computers in Entertainment ; https://hal.archives-ouvertes.fr/hal-01380163 ; ACM Computers in Entertainment, 2017, ⟨10.1145/3022635⟩ (2017)
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3
La subjectivité artificielle. Ébauche d'un programme de recherche
In: https://hal.archives-ouvertes.fr/hal-01137849 ; 2016 (2016)
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Enforced Sparse Non-Negative Matrix Factorization
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МОДЕЛЬНОЕ ПРЕДСТАВЛЕНИЕ МЕХАНИЗМОВ ФОРМИРОВАНИЯ ПРОБЛЕМНО-ОРИЕНТИРОВАННЫХ СЕМАНТИЧЕСКИХ ПОЛЕЙ
СИГОВ АЛЕКСАНДР СЕРГЕЕВИЧ; НЕЧАЕВ ВАЛЕНТИН ВИКТОРОВИЧ; ТРОФИМЕНКО ВСЕВОЛОД МИХАЙЛОВИЧ. - : Частное образовательное учреждение высшего образования «Московский университет имени С.Ю. Витте», 2015
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6
Robust and Efficient Anti-Phishing Techniques
In: DTIC (2012)
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7
Fighting for Intelligence: The Design of Intelligence-Led Operations
In: DTIC (2008)
Abstract: Achieving the level of learning, understanding, and systems thinking necessary to cope with modern, complex rivals and operating environments requires a reciprocal and carefully designed relationship between operations and intelligence. A paradigm shift in the joint force approach to understanding modern adversaries is long overdue. Learning and understanding the ever-changing structure and relationships of rival systems requires active interaction rather than a pursuit of "actionable intelligence" through periodic sampling with passive collection. Significant elements of our operations must now be directed towards creating conditions for learning and understanding. Joint doctrine requires subordination of intelligence to other forms of operations, making it difficult for the inverse to occur when necessary. To cope with uncertainty and complexity, a new paradigm for understanding the adversary and operating environment must emerge. Intelligence-led operations -- the purposeful interaction to gain awareness, understanding, and leverage over rival systems -- should be the foundation of this new paradigm. Intelligence-led operations should originate from the operational art and design of a campaign. By applying the heuristics of systems thinking and operational design to this problem, an intellectual foundation for the continual design of intelligence-led operations can be established. In modern campaigning, fighting for intelligence is as necessary as fighting with it. We have to interact with rival systems and learn from that interaction if we are to succeed. Intelligence-led operations create the necessary reciprocal relationships that allow for such success. The purpose of intelligence-led operations is to increase understanding of rival systems, an outcome that ultimately benefits all lines of operation. Operational design provides the framework to develop and guide intelligence in the pursuit of systemic awareness as well as campaign goals and objectives.
Keyword: *ASYMMETRIC WARFARE; *INTELLIGENCE; *INTELLIGENCE-LED OPERATIONS; *INTERACTIONS; *JOINT MILITARY ACTIVITIES; *MILITARY ART; *MILITARY PLANNING; *SYSTEMS APPROACH; ADAPTATION; BEHAVIOR; COGNITION; CREATIVITY; DISCRIMINATION; ENEMY; HEURISTIC METHODS; JOINT DOCTRINE; LEARNING; LLO(LOGICAL LINE OF OPERATION); MILITARY DOCTRINE; Military Intelligence; OBSERVATION; OPERATIONAL ART; OPERATIONAL DESIGN; OPERATIONAL PLANNING; Psychology; SYSTEMIC AWARENESS; THESES; UNCERTAINTY; Unconventional Warfare
URL: http://www.dtic.mil/docs/citations/ADA504937
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA504937
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8
Fast Unconstrained Audio Search in Numerous Human Languages
In: DTIC (2007)
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9
Effectively Using Syntax for Recognizing False Entailment
In: DTIC (2006)
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10
Semantics, Dialogue, and Reference Resolution
In: DTIC (2006)
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11
Sparse Forward-Backward for Fast Training of Conditional Random Fields
In: DTIC (2006)
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12
TREC2001 Question-Answer, Web and Cross Language Experiments Using PIRCS
In: DTIC (2006)
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13
Towards a Science of Command and Control (C2)
In: DTIC (2005)
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14
Intelligence Analyst Associate (IAA) - CYC Knowledge Extraction
In: DTIC AND NTIS (2003)
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15
Statistical Phrase-Based Translation
In: DTIC (2003)
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16
UMass at TREC 2003: HARD and QA
In: DTIC (2003)
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17
Interacting with Virtual Characters In Interactive Storytelling
In: http://www-scm.tees.ac.uk/users/f.charles/publications/conferences/2002/aamas2002.pdf (2002)
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18
Incorporating Syntactic Information in Question Answering
In: DTIC (2001)
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19
Evaluating Question-Answering Techniques in Chinese
In: DTIC (2001)
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20
Optimal Allocation of Distributed Resources Using Fuzzy Logic and a Genetic Algorithm
In: DTIC (2000)
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