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Unifying learning methods by colored digraphs
1993We describe a graph-based induction algorithm that extracts typical patterns from colored digraphs. The method is shown to be capable of solving a variety of learning problems by mapping the different learning problems into colored digraphs. The generality and scope of this method can be attributed to the expressiveness of the colored digraph ...
Kenichi Yoshida +2 more
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Hobbes's Unified Method for Scientia
A Companion to Hobbes, 2021Helen Hattab
semanticscholar +1 more source
A unifying theorem on newton's method
Numerical Functional Analysis and Optimization, 1992In this paper a general theorem is proved about convergence and error estimates for Newton's method. It contains as special cases a theorem of Kantorowitsch-type, a theorem with nonlinear majorants and componentwise error estimates as well as a theorem of monotone type.
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Computer Vision and Pattern Recognition
We present JanusFlow, a powerful framework that unifies image understanding and generation in a single model. JanusFlow introduces a minimalist architecture that integrates autoregressive language models with rectified flow, a state-of-the-art method in ...
Yiyang Ma +13 more
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We present JanusFlow, a powerful framework that unifies image understanding and generation in a single model. JanusFlow introduces a minimalist architecture that integrates autoregressive language models with rectified flow, a state-of-the-art method in ...
Yiyang Ma +13 more
semanticscholar +1 more source
Newly modified unified auxiliary equation method and its applications
Optik, 2022Sibel Tarla, Karmina Ali, Resat Yilmazer
exaly
Unified Review of Column Generation Methods
2014Large scale Mixed Integer Programming (MIP) optimization models are intricate to solve. When the model decomposes into blocs, for instance when optimizing the use of multiple ressources, relaxing the linking constraints in a Lagrangian way can make the model tractable. Exploiting such decomposition to develop tight approximations has lead to tremendous
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