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What's in an Algorithm?

George K. Thiruvathukal
2013 Computing in science & engineering (Print)  
, 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]

Gilberto Câmara, Max J. Egenhofer, Frederico Fonseca, Antônio Miguel Vieira Monteiro
2001 Lecture Notes in Computer Science  
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?

Oleg Polonsky, Giuseppe Patané, Silvia Biasotti, Craig Gotsman, Michela Spagnuolo
2005 The Visual Computer  
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!

Santosh K. Chaturvedi
2006 Psychiatric bulletin of the Royal College of Psychiatrists  
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]

Francesco Ventura, Tania Cerquitelli
2019 arXiv   pre-print
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]

Alex Kearney, Anna Koop, Patrick M. Pilarski
2021 arXiv   pre-print
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]

David Gaddy, Mitchell Stern, Dan Klein
2018 arXiv   pre-print
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?

Richard Huyghe, Marine Wauquier
2020 Morphology  
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

Arne Köhn
2015 Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing  
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]

Jaron Mar, Jiamou Liu
2020 Lecture Notes in Computer Science  
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

Dejan Jokić, Slobodan Lubura, Milica Ristović, Stevan Stankovski, Vladimir Rajs, Harun Šiljak
2020 Electronics  
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

R. Kusters, A. Borgida
2001 The Journal of Artificial Intelligence Research  
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

David Gaddy, Mitchell Stern, Dan Klein
2018 Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)  
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

Jef Huysmans
2011 Security Dialogue  
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]

Ksander Nikolas de Winkel, Mikhail Katliar, Daniel Diers, Heinrich H Buelthoff
2017 bioRxiv   pre-print
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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