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What's in an Algorithm?
2013
Computing in science & engineering (Print)
Preserved Fulltext
, What's in an algorithm? ...
, an algorithm is a stepby-step procedure for calculations. algorithms are used for calculation, data processing, and automated reasoning. ...
doi:10.1109/mcse.2013.94
fatcat:uaez2sxaajbbrjdnhco6teqgja
What's in an Image?
[chapter]
2001
Lecture Notes in Computer Science
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V. (2001) What's in an Image. in: Montello, D. ...
It is surprisingly difficult to provide a straightforward answer to a very basic question, "What's in an image?" ...
V. (2001) What's in an Image. in: Montello, D. ...
doi:10.1007/3-540-45424-1_32
fatcat:pxwwxfflb5e6xh4yth2zayjkvi
What's in an image?
2005
The Visual Computer
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Thus, it would be very useful, in many applications, to be able to automatically compute these "best" views. ...
In particular, we describe a number of different ways to measure the goodness of a view, and show how to optimize these measures by reducing the size of the search space. ...
Once the descriptors have been decided on, an efficient algorithm must compute the view on the unit sphere which optimizes this measure. ...
doi:10.1007/s00371-005-0326-y
fatcat:745uaib3njdfphnhhrf7jr657i
What's in an MRCPsych!
2006
Psychiatric bulletin of the Royal College of Psychiatrists
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Aparna Prasanna Specialist Registrar in Old Age
Psychiatry, Memorial Hospital, Shooter's Hill, London
SE18 3RZ, email: aparnaprasanna @ doctors.org.uk
What's in an MRCPsych! ...
The authors clarify treatment options/ pathways by the liberal use of treatment algorithms in most chapters. ...
doi:10.1192/pb.30.9.354
fatcat:6sfrmkazard25hsshp63eskvla
What's in the box? Explaining the black-box model through an evaluation of its interpretable features
[article]
2019
arXiv
pre-print
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Algorithms are powerful and necessary tools behind a large part of the information we use every day. ...
Greater algorithm transparency is indispensable to provide more credible and reliable services. ...
Specifically, deep learning algorithms have an increasing impact on our everyday life: complex models obtained with deep neural network architectures represent the new state-of-the-art in many domains ...
arXiv:1908.04348v1
fatcat:6xm7utvuwvhwzeowkqmi2yd4ve
What's a Good Prediction? Challenges in evaluating an agent's knowledge
[article]
2021
arXiv
pre-print
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2020 pre-print arXiv:2001.08823v1 fatcat:dlneo7dkpba55ea3jehnykiyo4
Having identified challenges in assessing an agent's knowledge, we propose an alternate evaluation approach that arises continually in the online continual learning setting we recommend evaluation by examining ...
This paper contributes a first look into evaluation of predictions through their use, an integral component of predictive knowledge which is as of yet unexplored. ...
Algorithm 1 GTD(λ) with AutoStep step-size tuning. 1: Initialize vectors ω, η, α, e, ξ , and w of size n number of features. ...
arXiv:2001.08823v2
fatcat:bhttaxb7azdbnp246auiddumlu
What's Going On in Neural Constituency Parsers? An Analysis
[article]
2018
arXiv
pre-print
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while recurrent neural network representations rise in popularity. ...
The goal of this work is to analyze the extent to which information provided directly by the model structure in classical systems is still being captured by neural methods. ...
The second author is supported by an NSF Graduate Research Fellowship. ...
arXiv:1804.07853v1
fatcat:eqk2kpb4qfaa7biomiyss46sjm
What's in an agent?
2020
Morphology
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This article investigates the morphological diversity of agent nouns (ANs) in French. ...
In addition, a distinction between functional, occasional and behavioral ANs, depending on whether they denote agents with an occupational status, agents in a particular event, or agents with a tendency ...
Acknowledgements We are grateful to the two anonymous reviewers and the editor for their helpful comments on an earlier version of this paper. ...
doi:10.1007/s11525-020-09366-2
fatcat:ggsswudgi5gutlhnraxkzsdvcm
What's in an Embedding? Analyzing Word Embeddings through Multilingual Evaluation
2015
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
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In the last two years, there has been a surge of word embedding algorithms and research on them. ...
We propose an approach to evaluate embeddings on a variety of languages that also yields insights into the structure of the embedding space by investigating how well word embeddings cluster along different ...
In addition to the lower bound described above, we also provide an approximate upper bound for the accuracy. ...
doi:10.18653/v1/d15-1246
dblp:conf/emnlp/Kohn15
fatcat:dy7ss44twnhutdulphkvpm76ea
What's in a Gist? Towards an Unsupervised Gist Representation for Few-Shot Large Document Classification
[chapter]
2020
Lecture Notes in Computer Science
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We live in an age where vast quantities of information are widely available and easily accessible. ...
The gist can be viewed as an abstract concept that represents only the quintessential meaning derived from a single or multiple sources of information. ...
This section will outline the intricacies around the seemingly simple gist representation framework proposed in Algorithm 1 motivated by an example to produce the gist embeddings in Fig. 1 using two ...
doi:10.1007/978-3-030-47426-3_21
fatcat:hi4syqmc4rcxznfnqq2qgxz33u
What's in the Box: Design of an Open Didactic Robot Environment
2020
Electronics
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The student questionnaire revealed severe discrepancies between theory and practice in education. ...
Such an approach enabled the students to use simple tools in order to generate desired trajectories for individual robot axes, to design specific types of robot control algorithms, and to verify the shape ...
Such an approach enabled the students to use simple tools in order to generate desired trajectories for individual robot axes, to design specific types of robot control algorithms, and to verify the shape ...
doi:10.3390/electronics9122090
fatcat:n2wncghoevbn7io3glfbe54kaq
What's in an Attribute? Consequences for the Least Common Subsumer
2001
The Journal of Artificial Intelligence Research
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Other Versions
It is shown that although determining subsumption between concept descriptions has the same complexity (though requiring different algorithms), the story is different in the case of determining the least ...
Interestingly, it is possible to decide in polynomial time if the lcs exists. ...
doi:10.1613/jair.702
fatcat:pycgavznofcfripuqma57sdpja
What's Going On in Neural Constituency Parsers? An Analysis
2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
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while recurrent neural network representations rise in popularity. ...
The goal of this work is to analyze the extent to which information provided directly by the model structure in classical systems is still being captured by neural methods. ...
The second author is supported by an NSF Graduate Research Fellowship. ...
doi:10.18653/v1/n18-1091
dblp:conf/naacl/GaddySK18
fatcat:rpbhnwne2fgb5ol3bsrwvbpn6q
What's in an act? On security speech acts and little security nothings
2011
Security Dialogue
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The task of re--engaging 'acts' is particularly pertinent in the contemporary context in which politically salient speech acts are heavily displaced by securitising practices and devices that appear as ...
This article makes a claim for re--engaging the concept of 'act' in the study of securitisation. ...
an algorithm that connects data in a way that differentiates patterns of travelling in degrees of danger. ...
doi:10.1177/0967010611418713
fatcat:lpgd2ns7irbxvlzuydrabvq23u
What's Up: an assessment of Causal Inference in the Perception of Verticality
[article]
2017
bioRxiv
pre-print
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However, an evaluation of individual data reveals considerable variability, favoring different models in about equal proportions of participants (FF, n=12; CI, n=7, CC, n=9). ...
However, findings from a study conducted in partial gravity suggest that the CNS may rely on a single sensory system (Cue Capture, CC), or choose to process sensory signals differently based on inferred ...
We therefore applied the Expectation-Maximization (EM) algorithm to fit these models [21] . In the EM-algorithm, membership of mixture components is treated as a latent variable. ...
doi:10.1101/189985
fatcat:fk5y75v2dbdxndleuhtqexumjy
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