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Unifying learning methods by colored digraphs

1993
We 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
openaire   +1 more source

Hobbes's Unified Method for Scientia

A Companion to Hobbes, 2021
Helen Hattab
semanticscholar   +1 more source

A unifying theorem on newton's method

Numerical Functional Analysis and Optimization, 1992
In 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.
openaire   +1 more source

JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation

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
semanticscholar   +1 more source

A unified N-body method

2007
Sverre J. Aarseth, Erich Bettwieser
openaire   +1 more source

A unified mixed-model method for association mapping that accounts for multiple levels of relatedness

Nature Genetics, 2006
Jianming Yu   +11 more
semanticscholar   +1 more source

Newly modified unified auxiliary equation method and its applications

Optik, 2022
Sibel Tarla, Karmina Ali, Resat Yilmazer
exaly  

Unified Review of Column Generation Methods

2014
Large 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
openaire   +1 more source

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