Tree-Structured Composition in Neural Networks without Tree-Structured Architectures

(ii) We use this covariance representation to develop a highly computa- tionally efficient optimization algorithm for structured prediction with taxonomies; (iii) We show that

In this paper, contrarily to this previous approach, we use decision trees to perform quantization of local appearances, but train them in a manner to directly optimize

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

Comparison of the performance of the Vector Addition Baseline, Smoothed Vector Addition Baseline, and the Structured Distributional Model (SDM) on the typical items of DTFit

Ayant tous à l’épisode initial la tuberculose pulmonaire, les rechutes ont survenu sous la même forme chez 2 patients – à une reprise pour l’un et à deux reprises pour

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, Exact Bayesian Inference in

These alternative methods are existing algorithms for learning mixtures of Markov trees, but also regular- ization of a single Markov tree, another method for reducing the

2 Input/Output Deep Architecture (IODA) 3 Application of IODA to medical image labeling.. 4 Application of IODA to Facial Landmark Detection