Academic literature on the topic 'Tree distance'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Tree distance.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Tree distance"
LYAUDET, LAURENT, PAULIN MELATAGIA YONTA, MAURICE TCHUENTE, and RENÉ NDOUNDAM. "DISTANCE PRESERVING SUBTREES IN MINIMUM AVERAGE DISTANCE SPANNING TREES." Discrete Mathematics, Algorithms and Applications 05, no. 03 (September 2013): 1350010. http://dx.doi.org/10.1142/s1793830913500109.
Full textAdams, Richard H., and Todd A. Castoe. "Probabilistic Species Tree Distances: Implementing the Multispecies Coalescent to Compare Species Trees Within the Same Model-Based Framework Used to Estimate Them." Systematic Biology 69, no. 1 (May 14, 2019): 194–207. http://dx.doi.org/10.1093/sysbio/syz031.
Full textXia, Xuhua. "Imputing missing distances in molecular phylogenetics." PeerJ 6 (July 24, 2018): e5321. http://dx.doi.org/10.7717/peerj.5321.
Full textJuan, Justie Su-Tzu, Yi-Ching Chen, Chen-Hui Lin, and Shu-Chuan Chen. "Efficient Approaches to the Mixture Distance Problem." Algorithms 13, no. 12 (November 28, 2020): 314. http://dx.doi.org/10.3390/a13120314.
Full textMlinaric, Danijel, Boris Milasinovic, and Vedran Mornar. "Tree Inheritance Distance." IEEE Access 8 (2020): 52489–504. http://dx.doi.org/10.1109/access.2020.2981260.
Full textLedermann, Thomas. "Evaluating the performance of semi-distance-independent competition indices in predicting the basal area growth of individual trees." Canadian Journal of Forest Research 40, no. 4 (April 2010): 796–805. http://dx.doi.org/10.1139/x10-026.
Full textDill, Lawrence M., and Robert Houtman. "The influence of distance to refuge on flight initiation distance in the gray squirrel (Sciurus carolinensis)." Canadian Journal of Zoology 67, no. 1 (January 1, 1989): 233–35. http://dx.doi.org/10.1139/z89-033.
Full textKhan, Md Nasir Uddin, and Mohammad Kamrul Hasan. "Performance of bitter gourd in association with Karanja (Pongamia pinnata L.) tree." Research in Agriculture Livestock and Fisheries 2, no. 1 (April 27, 2015): 63–73. http://dx.doi.org/10.3329/ralf.v2i1.23030.
Full textKim, Jaehee, Noah A. Rosenberg, and Julia A. Palacios. "Distance metrics for ranked evolutionary trees." Proceedings of the National Academy of Sciences 117, no. 46 (November 2, 2020): 28876–86. http://dx.doi.org/10.1073/pnas.1922851117.
Full textJiang, Yueyu, Puoya Tabaghi, and Siavash Mirarab. "Learning Hyperbolic Embedding for Phylogenetic Tree Placement and Updates." Biology 11, no. 9 (August 24, 2022): 1256. http://dx.doi.org/10.3390/biology11091256.
Full textDissertations / Theses on the topic "Tree distance"
Rhodes, Benjamin Robert. "On the Discrete Number of Tree Graphs." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/98536.
Full textMaster of Science
We study a generalization of the problem of finding bounds on the number of discrete chains, which itself is a generalization of the Erdős unit distance problem, a famous mathematics problem named after mathematician Paul Erdős. Given a set of points, and a tree graph of a much smaller amount of vertices, we study the maximum possible number of tree graphs which can be represented by a prescribed tree graph. We derive an algorithm for finding tight bounds for this family of problems up to chain bound discrepancy, and give upper and lower bounds in special cases.
Mou, Chengcheng. "A Comparative Study of Dual-tree Algorithms for Computing Spatial Distance Histogram." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5836.
Full textGarcía-González, Ignacio. "Comparison Of Different Distance Measures For Cluster Analysis Of Tree-Ring Series." Tree-Ring Society, 2008. http://hdl.handle.net/10150/622565.
Full textSharma, Luetel Sadhana. "Performance analysis of a binary-tree-based algorithm for computing Spatial Distance Histograms." [Tampa, Fla] : University of South Florida, 2009. http://purl.fcla.edu/usf/dc/et/SFE0003136.
Full textBillingham, Martin Robert. "Genetic structure, localised adaptation and optimal outcrossing distance in two neotropical tree species." Thesis, University of Oxford, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301795.
Full textComtet, Jean. "Passive phloem loading and long-distance transport in a synthetic tree-on-a-chip." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101330.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 45-46).
According to the Munch mechanism, vascular plants rely on osmotic pressure gradients to export sugars from regions of synthesis (mature leaves) to sugar sinks (roots, fruits). A crucial step in this process is the loading of sugars from photosynthetic cells to the export conduit (the phloem). In this thesis, we developed a synthetic microfluidic osmotic pump mimicking the mechanism of passive phloem loading, where sugars are transported by diffusion from a sugar reservoir to the phloem. This design allows the development of steady flow over several hours. We show that in our system, phloem concentration is set by a relative balance between loading by diffusion from the source and export by convection through the phloem, via a single nondimensional system-scale Peclet number that we call the flushing number. For large flushing numbers, export is limited by diffusion from the source, and flow rates scale weakly with transport resistance. For low flushing numbers, export is limited by convection through the phloem and phloem concentration is close to that of the source, leading to efficient export of water and sugars. In plants, passive phloem loading is used predominantly by trees. We show that the hydrostatic pressures developed in our synthetic system can reach up to ten bars and are thus compatible with the pressures expected to drive long-distance transport in large trees. Moreover, we show that the regime of efficient export in passive loaders is more accessible to plants with large transport resistances, providing a rational for the use of the passive loading mechanism by most tree species.
by Jean Comtet.
S.M.
Mori, Tomoya. "Methods for Analyzing Tree-Structured Data and their Applications to Computational Biology." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/202741.
Full textElias, Isaac. "Computational problems in evolution : Multiple alignment, genome rearrangements, and tree reconstruction." Doctoral thesis, KTH, Numerical Analysis and Computer Science, NADA, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4170.
Full textReconstructing the evolutionary history of a set of species is a fundamental problem in biology. This thesis concerns computational problems that arise in different settings and stages of phylogenetic tree reconstruction, but also in other contexts. The contributions include:
• A new distance-based tree reconstruction method with optimal reconstruction radius and optimal runtime complexity. Included in the result is a greatly simplified proof that the NJ algorithm also has optimal reconstruction radius. (co-author Jens Lagergren)
• NP-hardness results for the most common variations of Multiple Alignment. In particular, it is shown that SP-score, Star Alignment, and Tree Alignment, are NP hard for all metric symbol distances over all binary or larger alphabets.
• A 1.375-approximation algorithm for Sorting By Transpositions (SBT). SBT is the problem of sorting a permutation using as few block-transpositions as possible. The complexity of this problem is still open and it was a ten-year-old open problem to improve the best known 1.5-approximation ratio. The 1.375-approximation algorithm is based on a new upper bound on the diameter of 3-permutations. Moreover, a new lower bound on the transposition diameter of the symmetric group is presented and the exact transposition diameter of simple permutations is determined. (co-author Tzvika Hartman)
• Approximation, fixed-parameter tractable, and fast heuristic algorithms for two variants of the Ancestral Maximum Likelihood (AML) problem: when the phylogenetic tree is known and when it is unknown. AML is the problem of reconstructing the most likely genetic sequences of extinct ancestors along with the most likely mutation probabilities on the edges, given the phylogenetic tree and sequences at the leafs. (co-author Tamir Tuller)
• An algorithm for computing the number of mutational events between aligned DNA sequences which is several hundred times faster than the famous Phylip packages. Since pairwise distance estimation is a bottleneck in distance-based phylogeny reconstruction, the new algorithm improves the overall running time of many distancebased methods by a factor of several hundred. (co-author Jens Lagergren)
Emprin, Gustave. "Une topologie pour les arbres labellés, application aux arbres aléatoires s-compacts." Thesis, Paris Est, 2019. http://www.theses.fr/2019PESC1032.
Full textIn this thesis, we develop a new space for the study of measured labelled metric spaces, ultimately designed to represent genealogical trees with a root at generation minus infinity. The time in the genealogical tree is represented by a 1-Lipschitz label function. We define the notion of S-compact measured labelled metric space, that is a metric space E equipped with a measure nu and a 1-Lipschitz label function from E to R, with the additional condition that each slice (the set of points with labels in a compact of R) must be compact and have finite measure. On the space XS of measured labelled metric spaces (up to isometry), we define a distance dLGHP by comparing the slices and study the resulting metric space, which we find to be Polish.We proceed with the study of the set T of all elements of XS that are real tree in which the label function decreases at rate 1 when we go toward the root" (which can be infinitely far). Each possible value of the label function corresponds to a generation in the genealogical tree. We prove that (T, dLGHP) is Polish as well. We define a number of measurable operation on T, including a way to randomly graft a forest on a tree. We use this operation to build a particular random tree generalizing Aldous' Brownian motion conditioned on its local time
Tsunamoto, Yoshihiro. "Seed dispersal dynamics of a fleshy-fruited tree Swida controversa by various frugivorous animals." Kyoto University, 2018. http://hdl.handle.net/2433/235096.
Full textBooks on the topic "Tree distance"
Hirai, Hiroshi. Characterization of the distance between subtrees of a tree by the associated tight span. Kyoto, Japan: Kyōto Daigaku Sūri Kaiseki Kenkyūjo, 2004.
Find full textZhang, Kaizhong. On the editing distance between trees and related problems. New York: Courant Institute of Mathematical Sciences, New York University, 1987.
Find full textCrawford, H. Energy absorbers for tree surgeons: An investigation of fall distances for tree climbers equipped with sit harness or with full harness. Sudbury: HSE Books, 1996.
Find full textHow to hike the AT: The nitty-gritty details of a long-distance trek. Mechanicsburg, PA: Stackpole Books, 2009.
Find full text1975-, Gutiérrez Arsenio, and Hernández Jorge Luis 1966-, eds. Cuerpos distantes: Tres fotógrafos en Querétaro : Demián Chávez, Arsenio Gutiérrez, Jorge Luis Hernández. Santiago de Querétaro, Qro. [Mexico]: Fondo Editorial de Querétaro, 2004.
Find full text1968-, Wulder Michael A., and Pacific Forestry Centre, eds. Calculating the risk of mountain pine beetle attack: A comparison of distance- and density-based estimates of beetle pressure. Victoria, B.C: Pacific Forestry Centre, 2007.
Find full textFitzsimons, Peter, 1943- Foreword by, ed. The world at my feet: The extraordinary story of the record-breaking fastest run around the Earth. Saint Leonards: Allen & Unwin., 2015.
Find full textBarbari, Matteo, and Francesco Sorbetti Guerri, eds. L’edilizia rurale tra sviluppo tecnologico e tutela del territorio. Florence: Firenze University Press, 2013. http://dx.doi.org/10.36253/978-88-6655-394-6.
Full textPeretti, Paola. Distance Between Me and the Cherry Tree. Hot Key Books, 2018.
Find full textPeretti, Paola, and Denise Muir. Distance Between Me and the Cherry Tree. Simon & Schuster Children's Publishing, 2019.
Find full textBook chapters on the topic "Tree distance"
Aratsu, Taku, Kouichi Hirata, and Tetsuji Kuboyama. "Approximating Tree Edit Distance through String Edit Distance for Binary Tree Codes." In Lecture Notes in Computer Science, 93–104. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-95891-8_12.
Full textBernard, Marc, Amaury Habrard, and Marc Sebban. "Learning Stochastic Tree Edit Distance." In Lecture Notes in Computer Science, 42–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11871842_9.
Full textBapat, Ravindra B. "Distance Matrix of a Tree." In Universitext, 115–30. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6569-9_9.
Full textAkutsu, Tatsuya, Daiji Fukagawa, and Atsuhiro Takasu. "Approximating Tree Edit Distance Through String Edit Distance." In Algorithms and Computation, 90–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11940128_11.
Full textKo, Sang-Ki, Yo-Sub Han, and Kai Salomaa. "Top-Down Tree Edit-Distance of Regular Tree Languages." In Language and Automata Theory and Applications, 466–77. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04921-2_38.
Full textTorsello, Andrea, and Edwin R. Hancock. "Tree Edit Distance from Information Theory." In Graph Based Representations in Pattern Recognition, 71–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45028-9_7.
Full textKouylekov, Milen, and Bernardo Magnini. "Tree edit distance for textual entailment." In Recent Advances in Natural Language Processing IV, 167–76. Amsterdam: John Benjamins Publishing Company, 2007. http://dx.doi.org/10.1075/cilt.292.22kou.
Full textChegrane, Ibrahim, Imane Hocine, Saïd Yahiaoui, Ahcene Bendjoudi, and Nadia Nouali-Taboudjemat. "Graph Edit Distance Compacted Search Tree." In Similarity Search and Applications, 181–89. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17849-8_14.
Full textDulucq, Serge, and Hélène Touzet. "Analysis of Tree Edit Distance Algorithms." In Combinatorial Pattern Matching, 83–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44888-8_7.
Full textHan, Yo-Sub, and Sang-Ki Ko. "Alignment Distance of Regular Tree Languages." In Implementation and Application of Automata, 126–37. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60134-2_11.
Full textConference papers on the topic "Tree distance"
"Clustering by Tree Distance for Parse Tree Normalisation." In The 3rd International Workshop on Natural Language Understanding and Cognitive Science. SciTePress - Science and and Technology Publications, 2006. http://dx.doi.org/10.5220/0002502400910100.
Full textMunthe Caspersen, Kent, Martin Bjeldbak Madsen, Andreas Berre Eriksen, and Bo Thiesson. "A Hierarchical Tree Distance Measure for Classification." In 6th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006198505020509.
Full textAkash, Pritom Saha, Md Eusha Kadir, Amin Ahsan Ali, and Mohammad Shoyaib. "Inter-node Hellinger Distance based Decision Tree." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/272.
Full textSidorov, Grigori, Helena Gomez-Adorno, Ilia Markov, David Pinto, and Nahun Loya. "Computing text similarity using Tree Edit Distance." In 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC). IEEE, 2015. http://dx.doi.org/10.1109/nafips-wconsc.2015.7284129.
Full textLakkaraju, Praveen, Susan Gauch, and Mirco Speretta. "Document similarity based on concept tree distance." In the nineteenth ACM conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1379092.1379118.
Full textBecker, Tilman, Aravind K. Joshi, and Owen Rambow. "Long-distance scrambling and tree adjoining grammars." In the fifth conference. Morristown, NJ, USA: Association for Computational Linguistics, 1991. http://dx.doi.org/10.3115/977180.977185.
Full textKuehn, Eileen, and Achim Streit. "Online Distance Measurement for Tree Data Event Streams." In 2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)2016. IEEE, 2016. http://dx.doi.org/10.1109/dasc-picom-datacom-cyberscitec.2016.122.
Full textReis, D. C., P. B. Golgher, A. S. Silva, and A. F. Laender. "Automatic web news extraction using tree edit distance." In the 13th conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/988672.988740.
Full textLiu, Quan, Daojing Hu, and Qicui Yan. "Decision tree algorithm based on average Euclidean distance." In 2010 2nd International Conference on Future Computer and Communication. IEEE, 2010. http://dx.doi.org/10.1109/icfcc.2010.5497736.
Full text"Tree Distance in Answer Retrieval and Parser Evaluation." In The 2nd International Workshop on Natural Language Understanding and Cognitive Science. SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0002565101550160.
Full textReports on the topic "Tree distance"
Saltus, Christina, and Eric Britzke. Literature review : macrohabitat metrics to identify presence of chiroptera on the landscape in the United States. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45523.
Full textTraina, Caetano, Traina Jr., Faloutsos Agma J., and Christos. Distance Exponent: A New Concept for Selectivity Estimation in Metric Trees. Fort Belvoir, VA: Defense Technical Information Center, March 1999. http://dx.doi.org/10.21236/ada363780.
Full textKvalbein, Astrid. Wood or blood? Norges Musikkhøgskole, August 2018. http://dx.doi.org/10.22501/nmh-ar.481278.
Full textCortés-Castillo, Denisse Viviana, Blanca Catalina Albarracín, and María Angélica Cardozo. Mitos y realidades de la dimensión ambiental. Universidad Nacional Abierta y a Distancia, December 2020. http://dx.doi.org/10.22490/ecapma.4088.
Full textDasberg, Shmuel, Jan W. Hopmans, Larry J. Schwankl, and Dani Or. Drip Irrigation Management by TDR Monitoring of Soil Water and Solute Distribution. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568095.bard.
Full textGarcía Salamanca, Angela Viviana, Julieth Nataly Lesmes, and Andrés Felipe Ruiz Castro. Prospectiva de la formación en salud universitaria. Universidad Nacional Abierta y a Distancia - UNAD, 2019. http://dx.doi.org/10.22490/ecisa.4762.
Full textMayfield, Colin. Capacity Development in the Water Sector: the case of Massive Open On-line Courses. United Nations University Institute for Water, Environment and Health, January 2017. http://dx.doi.org/10.53328/mwud6984.
Full textHilbert, Martin, Salma Jalife Villalón, Carmen Enedina Rodríguez Armenta, Pedro Miguel Ruiz Martínez, Faraón Llorens, Cinthya Carolina Sánchez Osorio, and Ernesto Chinkes. Abierta configuration options Estrategia y transformación de las univerdades: un enfoque para el gobierno universitario. Inter-American Development Bank, April 2022. http://dx.doi.org/10.18235/0004200.
Full text