PDF Ebook about: Interpretability

Interpretability

List of ebooks and manuals about Interpretability

13 documents available in our comprehensive collection of Interpretability resources. Find practical guides, tutorials, and documentation to enhance your knowledge.

Preview of Mythos of model interpretability
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Mythos of model interpretability (1606.03490.pdf)

359 KBZachary C. LiptonEN 9 pages
Supervised machine learning models have remarkable predictive capabilities, but their interpretability is underspecified, with diverse and sometimes
Preview of Nested State Clouds: Distilling Knowledge Graphs from Contextual Embeddings
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Nested State Clouds: Distilling Knowledge Graphs from Contextual Embeddings (NSCv5.pdf)

2.63 MBEN 17 pages
This thesis proposes a novel interpretability technique called Nested State Clouds (NSC) to distill sparse knowledge graphs from a model's high-dimensional
Preview of Invertible Interpretation Network
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Invertible Interpretation Network (paper.pdf)

13.07 MBEN 19 pages
Neural networks learn powerful representations, but their hidden layers lack interpretability due to distributed coding, making it hard to attribute meaning to
Preview of Скачать техническую документацию
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Скачать техническую документацию (27.40.001.00.00.027-672.1 672-1 LX3.pdf)

260 KBleonovIT 1 page
Non è possibile riassumere il testo in quanto non è un testo leggibile, ma piuttosto una sequenza di caratteri casuali e simboli non interpretabili.
Preview of Deep Kernel for GPs
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Deep Kernel for GPs (328_main_paper.pdf)

3.04 MBEN 10 pages
A novel Gaussian process kernel is proposed, leveraging a deep neural network structure while maintaining interpretability
Preview of Word Sense Induction
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Word Sense Induction (E17-1009.pdf)

453 KBAlexander Panchenko ; Eugen Ruppert ; Stefano Faralli ; Simone Paolo Ponzetto ; Chris BiemannEN 13 pages
Researchers present an interpretable unsupervised knowledge-free word sense induction and disambiguation method, which matches state-of-the-art models in...
Preview of http://www.lingref.com/cpp/acal/42/paper2763.pdf
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http://www.lingref.com/cpp/acal/42/paper2763.pdf (paper2763.pdf)

453 KBJuvénal Ndayiragije, Emmanuel Nikiema, and Parth BhattEN 11 pages
Researchers propose the Uniformity Hypothesis, suggesting that syntax and phonology share the same computational system, with two elementary operations: Merge...
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Density Trees (det.pdf)

2.86 MBEN 9 pages
Density estimation trees (DETs) are developed as a nonparametric method for estimating joint probability density functions, structured as decision trees to...
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Article (isprs-annals-III-7-195-2016.pdf)

3.22 MBEN 8 pages
The goal is to assign individual PS to specific parts of buildings, exploiting the similarity in viewing direction between SAR and oblique optical imagery.
Preview of Recurrent Neural Networks
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Recurrent Neural Networks (3y0W8O8qSJptHUVFG9nPCb5HU4c.pdf)

210 KBEN 2 pages
The author discusses their experience at the International Conference on Machine Learning (ICML) and introduces two research studies on Recurrent Neural...
Preview of Practical Diagnostic Tools for Deep Neural Networks
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Practical Diagnostic Tools for Deep Neural Networks (casper_sm_thesis-4.pdf)

15.73 MBStephen CasperEN 101 pages
This thesis proposes practical diagnostic tools for deep neural networks, focusing on evaluating techniques based on their usefulness for identifying problems...
Preview of Reinforcement Learning for Explainable Recommendation
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Reinforcement Learning for Explainable Recommendation (1906.05237.pdf)

1.38 MBYikun Xian, Zuohui Fu, S. Muthukrishnan, Gerard de Melo, and Yongfeng ZhangEN 10 pages
A method for explainable recommendations using knowledge graph reasoning, providing interpretable paths.
Preview of Data-driven modelling: an integrative approach for various application areas
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Data-driven modelling: an integrative approach for various application areas (program.pdf)

14 KBAnna MarconatoEN 3 pages
Prof. Johan Suykens presents an integrative approach to data-driven modelling, focusing on advanced black-box techniques for diverse applications. The lecture covers challenges and future directions in high-dimensional data analysis, with a specific emphasis on Support Vector...

Popular Keywords

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