#kernelmethods search results
Carlos and I came up with a new class of Emoji kernels. Coming soon to #kernelmethods! Also, perhaps Kardashian double Gaussian kernels too 😀
Yesterday was a day very much circling around notions of quantum-assisted machine learning. After #QTML2021, Sofiene Jerbi from Innsbruck gave a wonderful talk on #quantummachinelearning beyond #kernelmethods in our reading group.
Sklearn custom kernel gives wrong decision function stackoverflow.com/questions/6785… #kernelmethods #svm #scikitlearn #machinelearning #python
Rene Fournier redesigning the #periodictable using #MachineLearning on 6-atom clusters. The first time I really understand #kernelmethods. #iccmse2019
Drop by my poster at D22 to learn more about the #kernelmethods, how you can leverage their power, and how easy it is now to compose and customize advanced techniques with beautiful #python code. #NI2019 Check it out github.com/raamana Scheduled demo tomorrow evening!
Christopher Ré, @StanfordAILab on 'Theory and systems for weak supervision" - join him and Live Q&A next Tuesday #DeepLearning #kernelmethods @naverlabseurope Open seminar series 📆 Nov 17th 4pm CET Registration: bit.ly/3ksOZV5
Work #1 explores #kernel methods for bivariate causal discovery using Conditional Mean Embedding (CME). A parsimony-based method helps infer causal direction by comparing complexity measures of CME sets. 📊 #KernelMethods #CausalDiscovery Great collab with @sejDino
You may have noticed #DeepLearning may not always beat the good old logistic regression or SVMs. So if you love #kernelmethods in #MachineLearning, here is a library you may quite enjoy: github.com/raamana/ Updates: drop-in estimator classes, more docs. Contributors welcome!
Interested in explaining kernel methods (or GP) with Shapley values? Or in using SVs as attribution priors in ERM? I’ve got you covered! Check out my poster on RKHS-SHAP at Hall J #433 tmrw from 4-6pm CST! nips.cc/virtual/2022/p… #NeurIPS2022 #ExplainableAI #KernelMethods
📘 Embarking on a challenging machine learning journey has brought me to kernel methods, a topic that tests even seasoned computer scientists. #KernelMethods #MachineLearning #AI #DataScience #Math #Optimization #Python ⬇️
The docs for #kernelmethods library are significantly better now: raamana.github.io/kernelmethods/… with a good demo notebook on @mybinderteam : mybinder.org/v2/gh/raamana/… Feedback and contribs most welcome. #MachineLearning #DeepLearning #AI #DataScience
Kernel Methods in machine learning are a group of algorithms for pattern analysis, applied to clustering, regression, and principal component analysis #KernelMethods
TokyoNLP#7 きれいなジャイアンのカカカカ☆カーネル法入門-C++ #kernelmethods #nlp slideshare.net/sleepy_yoshi/t… @SlideShareさんから
you and other #kernelmethods enthusiasts would love my library which would make the development of advanced or domain-specific kernels very easy and intuitive: GitHub.com/raamana/kernel… 😄
github.com
GitHub - raamana/kernelmethods: Foundational library for Kernel methods in pattern analysis and...
Foundational library for Kernel methods in pattern analysis and machine learning - raamana/kernelmethods
Trading on Memory: Why Markov Models Miss the Signal cognaptus.com/blog/2025-07-2… #tradingstrategies #kernelmethods #finance #machinelearning #quantitativefinance #RKHS #signaturekernels #mean-varianceoptimization
cognaptus.com
Trading on Memory: Why Markov Models Miss the Signal
A new kernel-based framework shows how embedding path-dependence directly into trading strategies beats classic mean-variance optimization in real and synthetic markets.
#MachineLearning #AIHistory #KernelMethods #Braverman #SovietAI #DataScience #ML #Bioinformatics #DeepLearning #SpectralClustering #LinkedInLearning
Kernel Methods and Support Vector Machines de-Mystified #topicmaps #kernelmethods #SVM #supportvector - ow.ly/amneF
Sklearn custom kernel gives wrong decision function stackoverflow.com/questions/6785… #kernelmethods #svm #scikitlearn #machinelearning #python
Yesterday was a day very much circling around notions of quantum-assisted machine learning. After #QTML2021, Sofiene Jerbi from Innsbruck gave a wonderful talk on #quantummachinelearning beyond #kernelmethods in our reading group.
Carlos and I came up with a new class of Emoji kernels. Coming soon to #kernelmethods! Also, perhaps Kardashian double Gaussian kernels too 😀
Christopher Ré, @StanfordAILab on 'Theory and systems for weak supervision" - join him and Live Q&A next Tuesday #DeepLearning #kernelmethods @naverlabseurope Open seminar series 📆 Nov 17th 4pm CET Registration: bit.ly/3ksOZV5
Rene Fournier redesigning the #periodictable using #MachineLearning on 6-atom clusters. The first time I really understand #kernelmethods. #iccmse2019
Drop by my poster at D22 to learn more about the #kernelmethods, how you can leverage their power, and how easy it is now to compose and customize advanced techniques with beautiful #python code. #NI2019 Check it out github.com/raamana Scheduled demo tomorrow evening!
Work #1 explores #kernel methods for bivariate causal discovery using Conditional Mean Embedding (CME). A parsimony-based method helps infer causal direction by comparing complexity measures of CME sets. 📊 #KernelMethods #CausalDiscovery Great collab with @sejDino
You may have noticed #DeepLearning may not always beat the good old logistic regression or SVMs. So if you love #kernelmethods in #MachineLearning, here is a library you may quite enjoy: github.com/raamana/ Updates: drop-in estimator classes, more docs. Contributors welcome!
Curso sobre los fundamentos matemáticos de los métodos de kernel, así como los principales enfoques que han surgido hasta ahora en el diseño de kernels. ➡️ Playlist: youtube.com/playlist?list=… ➡️ Página web: members.cbio.mines-paristech.fr/~jvert/svn/ker… #machinelearning #kernelmethods
The docs for #kernelmethods library are significantly better now: raamana.github.io/kernelmethods/… with a good demo notebook on @mybinderteam : mybinder.org/v2/gh/raamana/… Feedback and contribs most welcome. #MachineLearning #DeepLearning #AI #DataScience
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