ºÝºÝߣshows by User: eliezersilva3 / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: eliezersilva3 / Wed, 21 Oct 2020 08:40:22 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: eliezersilva3 Locality-sensitive hashing for search in metric space /slideshow/localitysensitive-hashing-for-search-in-metric-space/238930017 lshforsimilaritysearchingenericmet-201021084022
M.Sc. thesis presentation about two methods developed for indexing in metric space for large-scale similarity search]]>
M.Sc. thesis presentation about two methods developed for indexing in metric space for large-scale similarity search]]> Wed, 21 Oct 2020 08:40:22 GMT /slideshow/localitysensitive-hashing-for-search-in-metric-space/238930017 eliezersilva3@slideshare.net(eliezersilva3) Locality-sensitive hashing for search in metric space eliezersilva3 M.Sc. thesis presentation about two methods developed for indexing in metric space for large-scale similarity search <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lshforsimilaritysearchingenericmet-201021084022-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> M.Sc. thesis presentation about two methods developed for indexing in metric space for large-scale similarity search
Locality-sensitive hashing for search in metric space from Eliezer Silva
]]> 115 0 https://cdn.slidesharecdn.com/ss_thumbnails/lshforsimilaritysearchingenericmet-201021084022-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Cybernetics, human-in-the-loop and probabilistic modelling for recommender systems /slideshow/cybernetics-humanintheloop-and-probabilistic-modelling-for-recommender-systems/131000242 pres-braintalk1-190208103558
Talk presented at BRAIN NTNU event https://brainntnu.no/portfolio/brain-talks-big-data2-2/ Blog post about the talk https://brainntnu.no/2019/02/05/society-of-minds/ Reflections about cybernetics, bias in recommender systems and future of AI]]>
Talk presented at BRAIN NTNU event https://brainntnu.no/portfolio/brain-talks-big-data2-2/ Blog post about the talk https://brainntnu.no/2019/02/05/society-of-minds/ Reflections about cybernetics, bias in recommender systems and future of AI]]> Fri, 08 Feb 2019 10:35:58 GMT /slideshow/cybernetics-humanintheloop-and-probabilistic-modelling-for-recommender-systems/131000242 eliezersilva3@slideshare.net(eliezersilva3) Cybernetics, human-in-the-loop and probabilistic modelling for recommender systems eliezersilva3 Talk presented at BRAIN NTNU event https://brainntnu.no/portfolio/brain-talks-big-data2-2/ Blog post about the talk https://brainntnu.no/2019/02/05/society-of-minds/ Reflections about cybernetics, bias in recommender systems and future of AI <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pres-braintalk1-190208103558-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Talk presented at BRAIN NTNU event https://brainntnu.no/portfolio/brain-talks-big-data2-2/ Blog post about the talk https://brainntnu.no/2019/02/05/society-of-minds/ Reflections about cybernetics, bias in recommender systems and future of AI
Cybernetics, human-in-the-loop and probabilistic modelling for recommender systems from Eliezer Silva
]]> 148 1 https://cdn.slidesharecdn.com/ss_thumbnails/pres-braintalk1-190208103558-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Content-Based Social Recommendation with Poisson Matrix Factorization (ECML-PKDD 2017) /slideshow/contentbased-social-recommendation-with-poisson-matrix-factorization-ecmlpkdd-2017/80102152 ecml-2017-poisson-eliezer-170924143510
Presentation from ECML-PKDD 2017 of joint work with my supervisors Helge Langseth and Heri Ramampiaro, about a Poisson factorization model for recommendations that integrates topic models in the items set and social connections between users. code: https://github.com/zehsilva/poissonmf_cs preprint version: https://inajourney.files.wordpress.com/2012/11/poissonmf_cs.pdf]]>
Presentation from ECML-PKDD 2017 of joint work with my supervisors Helge Langseth and Heri Ramampiaro, about a Poisson factorization model for recommendations that integrates topic models in the items set and social connections between users. code: https://github.com/zehsilva/poissonmf_cs preprint version: https://inajourney.files.wordpress.com/2012/11/poissonmf_cs.pdf]]> Sun, 24 Sep 2017 14:35:10 GMT /slideshow/contentbased-social-recommendation-with-poisson-matrix-factorization-ecmlpkdd-2017/80102152 eliezersilva3@slideshare.net(eliezersilva3) Content-Based Social Recommendation with Poisson Matrix Factorization (ECML-PKDD 2017) eliezersilva3 Presentation from ECML-PKDD 2017 of joint work with my supervisors Helge Langseth and Heri Ramampiaro, about a Poisson factorization model for recommendations that integrates topic models in the items set and social connections between users. code: https://github.com/zehsilva/poissonmf_cs preprint version: https://inajourney.files.wordpress.com/2012/11/poissonmf_cs.pdf <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ecml-2017-poisson-eliezer-170924143510-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation from ECML-PKDD 2017 of joint work with my supervisors Helge Langseth and Heri Ramampiaro, about a Poisson factorization model for recommendations that integrates topic models in the items set and social connections between users. code: https://github.com/zehsilva/poissonmf_cs preprint version: https://inajourney.files.wordpress.com/2012/11/poissonmf_cs.pdf
Content-Based Social Recommendation with Poisson Matrix Factorization (ECML-PKDD 2017) from Eliezer Silva
]]> 1459 9 https://cdn.slidesharecdn.com/ss_thumbnails/ecml-2017-poisson-eliezer-170924143510-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Complex networks: community detection and virus propagation /slideshow/complex-networks-community-detectation-and-virus-propagation/57135515 complexnetworks-communitydetectationandviruspropagation-160116224039
brief presentation done for a phd course I attended last semester (fall of 2015) at NTNU about Advanced Information Retrieval]]>
brief presentation done for a phd course I attended last semester (fall of 2015) at NTNU about Advanced Information Retrieval]]> Sat, 16 Jan 2016 22:40:39 GMT /slideshow/complex-networks-community-detectation-and-virus-propagation/57135515 eliezersilva3@slideshare.net(eliezersilva3) Complex networks: community detection and virus propagation eliezersilva3 brief presentation done for a phd course I attended last semester (fall of 2015) at NTNU about Advanced Information Retrieval <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/complexnetworks-communitydetectationandviruspropagation-160116224039-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> brief presentation done for a phd course I attended last semester (fall of 2015) at NTNU about Advanced Information Retrieval
Complex networks: community detection and virus propagation from Eliezer Silva
]]> 510 6 https://cdn.slidesharecdn.com/ss_thumbnails/complexnetworks-communitydetectationandviruspropagation-160116224039-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Probabilistic Matrix Factorization (extensions of models) /slideshow/probabilistic-matrix-factorization-extensions-of-models/57135441 extensions-pmf-160116223536
Self-study course: approximate and scalable inference for complex probabilistic models in recommender systems. part 1: models and representations session 2: - adding trust/side information - Bayesian extensions - poisson models (with trust and social network information) - Latent Gaussian Models]]>
Self-study course: approximate and scalable inference for complex probabilistic models in recommender systems. part 1: models and representations session 2: - adding trust/side information - Bayesian extensions - poisson models (with trust and social network information) - Latent Gaussian Models]]> Sat, 16 Jan 2016 22:35:35 GMT /slideshow/probabilistic-matrix-factorization-extensions-of-models/57135441 eliezersilva3@slideshare.net(eliezersilva3) Probabilistic Matrix Factorization (extensions of models) eliezersilva3 Self-study course: approximate and scalable inference for complex probabilistic models in recommender systems. part 1: models and representations session 2: - adding trust/side information - Bayesian extensions - poisson models (with trust and social network information) - Latent Gaussian Models <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/extensions-pmf-160116223536-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Self-study course: approximate and scalable inference for complex probabilistic models in recommender systems. part 1: models and representations session 2: - adding trust/side information - Bayesian extensions - poisson models (with trust and social network information) - Latent Gaussian Models
Probabilistic Matrix Factorization (extensions of models) from Eliezer Silva
]]> 777 5 https://cdn.slidesharecdn.com/ss_thumbnails/extensions-pmf-160116223536-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Variational Inference /eliezersilva3/variational-inference-57135389 var-inf-160116223106
Self-study course: approximate and scalable inference for complex probabilistic models in recommender systems. part 2: scalable aproximate inference session 1: variational inference]]>
Self-study course: approximate and scalable inference for complex probabilistic models in recommender systems. part 2: scalable aproximate inference session 1: variational inference]]> Sat, 16 Jan 2016 22:31:06 GMT /eliezersilva3/variational-inference-57135389 eliezersilva3@slideshare.net(eliezersilva3) Variational Inference eliezersilva3 Self-study course: approximate and scalable inference for complex probabilistic models in recommender systems. part 2: scalable aproximate inference session 1: variational inference <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/var-inf-160116223106-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Self-study course: approximate and scalable inference for complex probabilistic models in recommender systems. part 2: scalable aproximate inference session 1: variational inference
Variational Inference from Eliezer Silva
]]> 686 7 https://cdn.slidesharecdn.com/ss_thumbnails/var-inf-160116223106-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Rota??es https://pt.slideshare.net/slideshow/rotaes/32727264 rotaes-140325145934-phpapp02
Apresenta??o sobre rota??es para a disciplina de Computa??o Gr¨¢fica com prof. Edilson Aguiar (CEUNES-UFES, 2011)]]>
Apresenta??o sobre rota??es para a disciplina de Computa??o Gr¨¢fica com prof. Edilson Aguiar (CEUNES-UFES, 2011)]]> Tue, 25 Mar 2014 14:59:34 GMT https://pt.slideshare.net/slideshow/rotaes/32727264 eliezersilva3@slideshare.net(eliezersilva3) Rota??es eliezersilva3 Apresenta??o sobre rota??es para a disciplina de Computa??o Gr¨¢fica com prof. Edilson Aguiar (CEUNES-UFES, 2011) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rotaes-140325145934-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Apresenta??o sobre rota??es para a disciplina de Computa??o Gr¨¢fica com prof. Edilson Aguiar (CEUNES-UFES, 2011)
from Eliezer Silva
]]> 885 33 https://cdn.slidesharecdn.com/ss_thumbnails/rotaes-140325145934-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-eliezersilva3-48x48.jpg?cb=1603269545 inajourney.wordpress.com https://cdn.slidesharecdn.com/ss_thumbnails/lshforsimilaritysearchingenericmet-201021084022-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/localitysensitive-hashing-for-search-in-metric-space/238930017 Locality-sensitive has... https://cdn.slidesharecdn.com/ss_thumbnails/pres-braintalk1-190208103558-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/cybernetics-humanintheloop-and-probabilistic-modelling-for-recommender-systems/131000242 Cybernetics, human-in-... https://cdn.slidesharecdn.com/ss_thumbnails/ecml-2017-poisson-eliezer-170924143510-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/contentbased-social-recommendation-with-poisson-matrix-factorization-ecmlpkdd-2017/80102152 Content-Based Social R...