{"id":69,"date":"2016-03-26T23:38:33","date_gmt":"2016-03-26T22:38:33","guid":{"rendered":"http:\/\/pages.di.unipi.it\/dbacciu\/?page_id=69"},"modified":"2016-03-28T22:30:21","modified_gmt":"2016-03-28T21:30:21","slug":"artree","status":"publish","type":"page","link":"https:\/\/pages.di.unipi.it\/bacciu\/software\/artree\/","title":{"rendered":"ARTREE"},"content":{"rendered":"

ARTREE – Artificial Tree Generator<\/strong><\/h2>\n

A small piece of Matlab software used to generate artificial trees with continous emissions.<\/p>\n

The code is based on a very simple function: generate_tree.m<\/a><\/p>\n

To see how to use it, have a look at this simple demo: artree_demo.m<\/a><\/p>\n

The tree generator has been used in a series of articles (listed at the bottom of this page) to generate artificial datasets with binary trees and (degenerated) left and right unary-trees (sequences). An example of how\u00a0 this is done in the citation paper is here: artree_demo_TNN.m<\/a><\/p>\n

The code is provided as is with no warranty and technical support. Please inform the author (Davide Bacciu<\/a>) if you intend to redistribute the code.<\/p>\n

Citation<\/strong><\/strong><\/h2>\n

If you find this code useful, please remember to cite:<\/p>\n

Bacciu Davide, Micheli Alessio, Sperduti Alessandro: <\/span> Compositional Generative Mapping for Tree-Structured Data; Part I: Bottom-Up Probabilistic Modeling of Trees<\/span>. In: <\/span>Neural Networks and Learning Systems, IEEE Transactions on, <\/span>vol. 23, <\/span>no. 12, <\/span>pp. 1987 -2002, <\/span>2012<\/span>, ISSN: 2162-237X<\/span>.<\/span><\/div>\n

BibTeX (Download<\/a>)<\/h2>
@article{gmtsdI2012,\r\ntitle = {Compositional Generative Mapping for Tree-Structured Data; Part I: Bottom-Up Probabilistic Modeling of Trees},\r\nauthor = {Bacciu Davide and Micheli Alessio and Sperduti Alessandro},\r\nurl = {http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=6353263},\r\ndoi = {10.1109\/TNNLS.2012.2222044},\r\nissn = {2162-237X},\r\nyear  = {2012},\r\ndate = {2012-12-01},\r\njournal = {Neural Networks and Learning Systems, IEEE Transactions on},\r\nvolume = {23},\r\nnumber = {12},\r\npages = {1987 -2002},\r\nkeywords = {hidden Markov models, hidden tree Markov model, tree structured data},\r\npubstate = {published},\r\ntppubtype = {article}\r\n}\r\n<\/pre>\n
List of Works using the Software<\/strong><\/strong><\/h2>\n
    \n
  1. Bacciu Davide, Micheli Alessio, Sperduti Alessandro: <\/span> Compositional Generative Mapping for Tree-Structured Data; Part I: Bottom-Up Probabilistic Modeling of Trees<\/span>. In: <\/span>Neural Networks and Learning Systems, IEEE Transactions on, <\/span>vol. 23, <\/span>no. 12, <\/span>pp. 1987 -2002, <\/span>2012<\/span>, ISSN: 2162-237X<\/span>.<\/span><\/div><\/li>\n
  2. Bacciu Davide, Micheli Alessio, Sperduti Alessandro: <\/span> Compositional Generative Mapping for Tree-Structured Data - Part II: Topographic Projection Model<\/span>. In: <\/span>Neural Networks and Learning Systems, IEEE Transactions on, <\/span>vol. 24, <\/span>no. 2, <\/span>pp. 231 -247, <\/span>2013<\/span>, ISSN: 2162-237X<\/span>.<\/span><\/div><\/li>\n
  3. Bacciu Davide, Micheli Alessio, Sperduti Alessandro : <\/span> An input\u2013output hidden Markov model for tree transductions<\/span>. In: <\/span>Neurocomputing, <\/span>vol. 112, <\/span>pp. 34\u201346, <\/span>2013<\/span>, ISSN: 0925-2312<\/span>.<\/span><\/div><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"
    ARTREE – Artificial Tree Generator A small piece of Matlab software used to generate artificial trees with continous emissions. The code is based on a very simple function: generate_tree.m To see how to use it, have a look at this simple demo: artree_demo.m The tree generator has been used in a series of articles (listed […]<\/p>\n","protected":false},"author":19,"featured_media":0,"parent":63,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"full-width-page.php","meta":{"footnotes":""},"class_list":["post-69","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/pages\/69","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/comments?post=69"}],"version-history":[{"count":4,"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/pages\/69\/revisions"}],"predecessor-version":[{"id":116,"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/pages\/69\/revisions\/116"}],"up":[{"embeddable":true,"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/pages\/63"}],"wp:attachment":[{"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/media?parent=69"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}