Academic literature on the topic 'Direct search'
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Journal articles on the topic "Direct search"
Zhang, Jilian, Kyriakos Mouratidis, and HweeHwa Pang. "Direct neighbor search." Information Systems 44 (August 2014): 73–92. http://dx.doi.org/10.1016/j.is.2014.03.003.
Full textKhalaf, Bashir, and Mohammed Al-Neama. "Parallel Direct Search Methods." AL-Rafidain Journal of Computer Sciences and Mathematics 7, no. 3 (December 30, 2010): 51–60. http://dx.doi.org/10.33899/csmj.2010.163909.
Full textMeregaglia, Anselmo, Davide Franco, Marcello Messina, Claudio Montanari, and Francesco Pietropaolo. "Direct Dark Matter Search." Advances in High Energy Physics 2015 (2015): 1–2. http://dx.doi.org/10.1155/2015/967697.
Full textAbdolmaleki, Abbas, David Simões, Nuno Lau, Luís Paulo Reis, and Gerhard Neumann. "Contextual Direct Policy Search." Journal of Intelligent & Robotic Systems 96, no. 2 (January 8, 2019): 141–57. http://dx.doi.org/10.1007/s10846-018-0968-4.
Full textCaldwell, David O. "Direct search for relic particles." Nuclear Physics B - Proceedings Supplements 70, no. 1-3 (January 1999): 43–53. http://dx.doi.org/10.1016/s0920-5632(98)00386-7.
Full textFanti, V., A. Lai, L. Musa, D. Marras, A. Nappi, B. Hay, R. W. Moore, et al. "Direct search for light gluinos." Physics Letters B 446, no. 2 (January 1999): 117–24. http://dx.doi.org/10.1016/s0370-2693(98)01459-2.
Full textBONJOUR, LAURENCE. "In Search of Direct Realism." Philosophy and Phenomenological Research 69, no. 2 (September 2004): 349–67. http://dx.doi.org/10.1111/j.1933-1592.2004.tb00398.x.
Full textKaesbauer, Manuel, Ralf Hohenstatt, and Richard Reed. "Direct versus search engine traffic." International Journal of Housing Markets and Analysis 5, no. 4 (September 28, 2012): 392–413. http://dx.doi.org/10.1108/17538271211268538.
Full textChakraborty, Suvra Kanti, and Geetanjali Panda. "Golden section search over hyper-rectangle: a direct search method." International Journal of Mathematics in Operational Research 8, no. 3 (2016): 279. http://dx.doi.org/10.1504/ijmor.2016.075517.
Full textKobayashi, Kazuyoshi. "Direct Dark Matter Search with XMASS." Nuclear and Particle Physics Proceedings 273-275 (April 2016): 361–66. http://dx.doi.org/10.1016/j.nuclphysbps.2015.09.051.
Full textDissertations / Theses on the topic "Direct search"
Mulhearn, Michael James. "A direct search for Dirac magnetic monopoles." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/32420.
Full textIncludes bibliographical references (p. 159-164).
Magnetic monopoles are highly ionizing and curve in the direction of the magnetic field. A new dedicated magnetic monopole trigger at CDF, which requires large light pulses in the scintillators of the time-of-flight system, remains highly efficient to monopoles while consuming a tiny fraction of the available trigger bandwidth. A specialized offline reconstruction checks the central drift chamber for large dE/dx tracks which do not curve in the plane perpendicular to the magnetic field. We observed zero monopole candidate events in 35.7 pb⁻¹ of proton-antiproton collisions at ... = 1.96 TeV. This implies a monopole production cross section limit [sigma] < 0.2 pb for monopoles with mass between 100 and 700 GeV, and, for a Drell-Yan like pair production mechanism, a mass limit m > 360 GeV.
by Michael James Mulhearn.
Ph.D.
Morgan, Eirwen. "Direct search for Salmonella serotype typhimurium gut invasins." Thesis, University of Birmingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364990.
Full textSzeto, Raymond W. L. (Raymond Wen Li) 1977. "Clamping-simplex methods : improved direct search simplex algorithms." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86829.
Full textIncludes bibliographical references (leaf 66).
by Raymond W.L. Szeto.
M.Eng.
Navrer-Agasson, Anyssa. "Direct dark matter search with the DarkSide Experiment." Thesis, Université de Paris (2019-....), 2019. https://theses.md.univ-paris-diderot.fr/NAVRER-AGASSON_Anyssa_va2.pdf.
Full textThe existence of dark matter is known because of its gravitational effects, and although its nature remains undisclosed, one of the leading candidate is the weakly interacting massive particle (WIMP) with mass of the order of 100 GeV/c2 and coupling with ordinary matter at or below the weak scale. In this context, DarkSide-50 aims to direct observe WIMP-nucleon collisions in a liquid argon dual phase time-projection chamber located deep underground at Gran Sasso National Laboratory, in Italy. This work first details the argon calibration realised by the ARIS experiment. ARIS characterised the argon response to low energy nuclear and electronic recoils, down to unprecedented energies. The nuclear quenching was measured with the best precision to this date, and the recombination probability extracted was compared to different models describing the behaviour of argon in presence of an electric field. A search for low mass WIMPs performed with DarkSide-50 data is also presented. This search focuses on the ionisation signal from the TPC, leading much to much lower detection threshold. The achieved exclusion limits are amongst the leading ones, and the most stringent for a liquid argon target. Finally a preliminary search for axions is presented. Axions are an alternative candidate to dark matter, proposed as a solution to the strong CP problem. They are detectable in DarkSide via their coupling to electrons. This search required the improvement of the modelling of the background sources, by taking into account atomic effects in beta emission spectra, as well as a redefinition of the energy scale converting the energy deposited into a number of extracted electrons. The results presented show an encouraging sensitivity to both solar and galactic axions
Clark, Matthew. "Direct-search method for the computer design of holograms." Thesis, Imperial College London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301220.
Full textJones, Evan Llewellyn. "The use of quadratic interpolation in direct search optimisation." Thesis, University of Cambridge, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.624549.
Full textAgnes, Paolo. "Direct search for dark matter with the DarkSide experiment." Thesis, Sorbonne Paris Cité, 2016. http://www.theses.fr/2016USPCC279/document.
Full textA wide range of observational evidence suggests that the matter content of the Universe is dominated by a non-baryonic and non-luminous component: dark matter. One of the most favored candidate for dark matter is a big-bang relic population of Weakly Interacting Massive Particles (WIMPs). The DarkSide program aims to the direct detection of WIMPs with a dual-phase liquid argon TPC and a background free exposure. The first phase of the experiment, DarkSide-50, is running since Oct 2013 and has (46 ± 0.7) kg active mass. A first run, with an atmospheric argon fill (AAr), provided the most sensitive limit ever obtained by an argon-based experiment. The current run, with an underground argon fill (UAr, depleted in Ar-39), represents a milestone towards the construction of DarkSide-20k, a low-background dual-phase TPC with a fiducial mass of 20 t. This work is been mainly devoted to the description of G4DS, the DarkSide Monte Carlo simulation, and to its applications. G4DS is a GEANT4-based simulation, it provides the geometry description of each detector of the DarkSide program, it is tuned to reproduce the DarkSide-50 response at the percent level and incorporates a custom model for ionization and scintillation mechanisms in liquid argon, tuned on real data. The principal applications of the simulation include the estimate of the neutron and gamma backgrounds for DarkSide-50, the measurement of the Ar-39 depletion factor in UAr with respect to AAr and the design studies for DarkSide-20k
Reuter, Robert. "Direct and indirect measures of learning in visual search." Doctoral thesis, Universite Libre de Bruxelles, 2013. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209542.
Full textand (4) to investigate whether such knowledge about the association between visual contexts and “meaningful” locations can be (automatically) transferred to other tasks, namely a change detection task.
In a first series of four experiments, we tried to replicate the documented contextual cueing effect using a wide range of various direct measures of learning (tasks that are supposed to be related to explicit knowledge) and we systematically varied the distinctiveness of context configurations to study its effect on both direct and indirect measures of learning.
We also ran a series of neural network simulations (briefly described in the general discussion of this thesis), based on a very simple association-learning mechanism, that not only account for the observed contextual cueing effect, but also yield rather specific predictions about future experimental data: contextual cueing effects should also be observed when repetitions of context configurations are not perfect, i.e. the networks were able to react to slightly distorted versions of repeating contexts in a similar way than they did to completely identical contexts. Human participants, we conjectured, should therefore (if the simple connectionist model captures some relevant aspects of the contextual cueing effect) become faster at detecting targets surrounded by context configurations that are only partially identical from trial to trial compared to those trials where the context configurations were randomly generated. These predictions were tested in a second series of experiments using pseudo-repeated context configurations, where some distractor items were either displaced from trial to trial or their orientation changed, while conserving their global layout.
In a third series of experiments, we used more realistic images of natural landscapes as background contexts to establish the robustness of the contextual cueing effect as well as its ecological relevance claimed by Chun and colleagues. We furthermore added a second task to these experiments to study whether the acquired knowledge about the background-target location associations would (automatically) transfer to another visual search task, namely a change detection task. If participants have learned that certain locations of the repeated images are “important”, since they contain the target item to look for, then changes occurring at those specific locations should lead to less “change blindness” than changes occurring at other irrelevant locations. We used two different types of instructions to introduce this second task after the visual search task, where we either stressed the link between the two tasks, i.e. telling them that remembering the “important” locations for each image could be used to find the changes faster, or we simply told them to perform the second task without any reference to the first one.
We will close this thesis with a general discussion, combining findings based on our review of the existing research literature and findings based on our own experimental explorations of the contextual cueing effect. By this we will discuss the implications of our empirical studies for the scientific investigation of contextual cueing and implicit learning, in terms of theoretical, empirical and methodological issues.
Doctorat en sciences psychologiques
info:eu-repo/semantics/nonPublished
Robertson, Blair Lennon. "Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques." Thesis, University of Canterbury. Mathematics and Statistics, 2010. http://hdl.handle.net/10092/5060.
Full textMok, Sungho. "Trade mark use in paid search marketing and direct liability." Thesis, Queen Mary, University of London, 2014. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8772.
Full textBooks on the topic "Direct search"
Lewis, Robert Michael. Direct search methods: Then and now. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2000.
Find full textMorgan, Eirwen. Direct search for salmonella serotype Typhimurium gut invasins. Birmingham: University of Birmingham, 2000.
Find full textBull, Kenneth. Near misses & direct hits: Shipmate search log, USS LST 742. [Hampstead, MD: K. Bull, 1997.
Find full textRamos, Andreas. Search Engine Marketing. New York: McGraw-Hill, 2008.
Find full textStephanie, Cota, ed. Search engine marketing. New York: McGraw-Hill, 2009.
Find full textBeagle, Ronda J. The Navy's search for a few good women: Analysis of a direct mail campaign. Monterey, Calif: Naval Postgraduate School, 1993.
Find full textSearch marketing strategies: A marketer's guide to objective-driven success from search engines. Oxford: Elsevier Butterworth-Heinemann, 2006.
Find full textSmarzynska, Beata K. Does foreign direct investment increase the productivity of domestic firms?: In search of spillovers through backward linkages. Washington, D.C: World Bank, Trade, Development Research Group, 2002.
Find full textParker, Philip M. The 2009-2014 world outlook for search engine optimization (SEO) and internet marketing. [San Diego, Calif.]: Icon Group International, 2008.
Find full textBischopinck, Yvonne von. Suchmaschinen-Marketing: Konzepte, Umsetzung und Controlling fu r SEO und SEM. 2nd ed. Berlin: Springer, 2009.
Find full textBook chapters on the topic "Direct search"
Bartholomew–Biggs, Michael. "Direct Search Methods." In Nonlinear Optimization with Engineering Applications, 1–10. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78723-7_5.
Full textEveritt, B. S. "Direct search methods." In Introduction to Optimization Methods and their Application in Statistics, 11–20. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3153-4_2.
Full textMcKeown, J. J., D. Meegan, and D. Sprevak. "Direct search methods." In An Introduction to Unconstrained Optimisation, 44–60. Boca Raton: Routledge, 2022. http://dx.doi.org/10.1201/9781315137360-4.
Full textAudet, Charles, and Warren Hare. "Mesh Adaptive Direct Search." In Derivative-Free and Blackbox Optimization, 135–56. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68913-5_8.
Full textGlasmachers, Tobias, and Jürgen Schmidhuber. "Optimal Direct Policy Search." In Artificial General Intelligence, 52–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22887-2_6.
Full textBrandsma, Frank. "Dialogue and Direct Discourse." In The Search for a New Alphabet, 34. Amsterdam: John Benjamins Publishing Company, 1996. http://dx.doi.org/10.1075/z.76.08bra.
Full textSomalwar, Sunil V. "Direct Search for Light Gluinos." In International Europhysics Conference on High Energy Physics, 985–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59982-8_184.
Full textSokolovska, Nataliya. "Sparse Gradient-Based Direct Policy Search." In Neural Information Processing, 212–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34478-7_27.
Full textMcFayden, Josh. "Search for Direct Sbottom Pair Production." In Third generation SUSY and t¯t +Z production, 123–37. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07191-6_7.
Full textMcFayden, Josh. "Search for Direct Stop Pair Production." In Third generation SUSY and t¯t +Z production, 139–75. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07191-6_8.
Full textConference papers on the topic "Direct search"
BERNABEI, R., P. BELLI, F. CAPPELLA, F. MONTECCHIA, F. NOZZOLI, A. INCICCHITTI, D. PROSPERI, et al. "DIRECT SEARCH FOR WIMPS." In Proceedings of the International Conference. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812702999_0003.
Full textLiu, Aoming, Zehao Huang, Zhiwu Huang, and Naiyan Wang. "Direct Differentiable Augmentation Search." In 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.01200.
Full textDeshpande, Shubhangi, Layne T. Watson, and Robert A. Canfield. "Biobjective optimization using direct search techniques." In IEEE SOUTHEASTCON 2013. IEEE, 2013. http://dx.doi.org/10.1109/secon.2013.6567475.
Full textPopovic, D., and A. R. Teel. "Direct search methods for nonsmooth optimization." In 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601). IEEE, 2004. http://dx.doi.org/10.1109/cdc.2004.1428960.
Full text"The LUX direct dark matter search." In CETUP* 2015 – WORKSHOP ON DARK MATTER, NEUTRINO PHYSICS AND ASTROPHYSICS AND PPC 2015 – IXTH INTERNATIONAL CONFERENCE ON INTERCONNECTIONS BETWEEN PARTICLE PHYSICS AND COSMOLOGY. Author(s), 2016. http://dx.doi.org/10.1063/1.4953313.
Full textMiyashita, Megumi, Ryo Hirotani, Shiro Yano, and Toshiyuki Kondo. "Direct policy search with extremum seeking." In 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE). IEEE, 2017. http://dx.doi.org/10.23919/sice.2017.8105470.
Full textLuo, Jiyun, Xuchu Dong, and Hui Yang. "Session Search by Direct Policy Learning." In ICTIR '15: ACM SIGIR International Conference on the Theory of Information Retrieval. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2808194.2809461.
Full textMiuchi, Kentaro. "Radiation Detectors for Direct Dark Matter Search." In Proceedings of International Symposium on Radiation Detectors and Their Uses (ISRD2016). Journal of the Physical Society of Japan, 2016. http://dx.doi.org/10.7566/jpscp.11.040001.
Full textLuus, R., and YangQuan Chen. "Optimal switching control via direct search optimization." In Proceedings of the 2003 IEEE International Symposium on Intelligent Control. IEEE, 2003. http://dx.doi.org/10.1109/isic.2003.1254662.
Full textMontgomery, Calvin, Jeffrey L. Overbey, and Xuechao Li. "Autotuning OpenACC work distribution via direct search." In the 2015 XSEDE Conference. New York, New York, USA: ACM Press, 2015. http://dx.doi.org/10.1145/2792745.2792783.
Full textReports on the topic "Direct search"
Mulhearn, Michael James. A Direct Search for Dirac Magnetic Monopoles. Office of Scientific and Technical Information (OSTI), October 2004. http://dx.doi.org/10.2172/15011746.
Full textPalladino, Kimberly J. Direct Search for Dark Matter. Office of Scientific and Technical Information (OSTI), December 2018. http://dx.doi.org/10.2172/1489160.
Full textChesnes, Matthew, and Ginger Zhe Jin. Direct-to-Consumer Advertising and Online Search. Cambridge, MA: National Bureau of Economic Research, August 2016. http://dx.doi.org/10.3386/w22582.
Full textNelson, Justin, R. A. McKinley, Lindsey K. McIntire, and Chuck D. Goodyear. Augmenting Visual Search Performance with Transcranial Direct Current Stimulation (tDCS). Fort Belvoir, VA: Defense Technical Information Center, March 2015. http://dx.doi.org/10.21236/ada623248.
Full textMadden, Robert. Direct Photon Production and Search for Excited Quarks with the D0 Detector. Office of Scientific and Technical Information (OSTI), January 1995. http://dx.doi.org/10.2172/1423655.
Full textAubert, B. Search for Direct CP Violation in Quasi-2-Body Charmless B Decays. Office of Scientific and Technical Information (OSTI), February 2004. http://dx.doi.org/10.2172/826708.
Full textBu, Xuebing. $H \to \gamma\gamma$ search and direct photon pair production differential cross section. Office of Scientific and Technical Information (OSTI), June 2010. http://dx.doi.org/10.2172/984571.
Full textKatsanos, Ioannis. Direct search for heavy neutral gauge bosons in the dielectron channel at D0. Office of Scientific and Technical Information (OSTI), January 2008. http://dx.doi.org/10.2172/926769.
Full textTorczon, Virginia. PDS: Direct Search Methods for Unconstrained Optimization on Either Sequential or Parallel Machines. Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada455473.
Full textRonquest, Michael Christopher. A Search for Direct CP Violation in the Decay KL->pi+pi-gamma. Office of Scientific and Technical Information (OSTI), December 2007. http://dx.doi.org/10.2172/1436758.
Full text