Results 31 to 40 of about 424,586 (329)
Imparting Interpretability to Word Embeddings while Preserving Semantic Structure
, 2020 As an ubiquitous method in natural language processing, word embeddings are extensively employed to map semantic properties of words into a dense vector representation.
Koç, Aykut +4 more
core +2 more sources
Interpreters and interpreting: shifting the balance?
The Translator, 2022 The role of interpreters has been shaped by changing social contexts throughout the millennial history of this occupation, but demographic, educational, legal and technological developments have accelerated since the late 20th century and given rise to new forms of interpreting with the potential of reshaping the way interpreting is conceived.
openaire +1 more source
Complexity of the interpretability logic IL
, 2018 We show that the decision problem for the basic system of interpretability logic IL is PSPACE-complete. For this purpose we present an algorithm which uses polynomial space with respect to the complexity of a given formula.
Mikec, Luka +2 more
core +1 more source
On the Interpretation of the Aharonov-Bohm Effect [PDF]
arXiv, 2021 The Aharonov-Bohm (A-B) effect showed that the phase of electron wave pattern could be changed by the excluded electromagnetic field, the region where electromagnetic field is zero. This apparent non-local effect has been explained by mainly two salient interpretations called "the interpretation of electromagnetic potentials" and "the interpretation of
arxiv
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceAdvancement in any field requires approaches for measurement. Failure to build such approaches inhibits improvements within the field. In the context of interpretability in Artificial Intelligence (AI), a lack of widely adopted evaluation and ...
Prateek Goel, Rosina Weber
doaj +1 more source
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning
, 2019 Deep reinforcement learning (DRL) has gained great success by learning directly from high-dimensional sensory inputs, yet is notorious for the lack of interpretability.
Gustafson, Steven +3 more
core +1 more source
Unary interpretability logics for sublogics of the interpretability logic $\mathbf{IL}$ [PDF]
arXiv, 2022 De Rijke introduced a unary interpretability logic $\mathbf{il}$, and proved that $\mathbf{il}$ is the unary counterpart of the binary interpretability logic $\mathbf{IL}$. In this paper, we find the unary counterparts of the sublogics of $\mathbf{IL}$.
arxiv
A Framework for Interpretability in Machine Learning for Medical Imaging
IEEE AccessInterpretability for machine learning models in medical imaging (MLMI) is an important direction of research. However, there is a general sense of murkiness in what interpretability means. Why does the need for interpretability in MLMI arise?
Alan Q. Wang +6 more
doaj +1 more source
Axiomatic Interpretability for Multiclass Additive Models
, 2019 Generalized additive models (GAMs) are favored in many regression and binary classification problems because they are able to fit complex, nonlinear functions while still remaining interpretable.
Caruana, Rich +5 more
core +1 more source
Decision making, symmetry and structure: Justifying causal interventions
Journal of Causal InferenceWe can use structural causal models (SCMs) to help us evaluate the consequences of actions given data. SCMs identify actions with structural interventions. A careful decision maker may wonder whether this identification is justified.
Johnston David O. +2 more
doaj +1 more source