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The value of time and reliability: measurement from a value pricing experiment

Terence C. Lam, Kenneth A. Small
2001 Transportation Research Part E: Logistics and Transportation Review  
~ts median, and unrehabihty by the difference between the 90th percentile and the me&an We present models of rou~e chmoe both alone and combined with other choices, namely time ot day, car occupancy,  ...  each route at each tmae of day and for each day of the week, the distributmn of travel times across &fferent weeks rs measured using loop detector data The best-fitting models represent travel-trine by  ...  Acknowledgements The work m thts paper was supported by the Umverslty of Cahforma Transportation Center We thank Dawd Brownstone, Ball Waters, and Jla Yon for assistance and helpful comments All responsibdlty  ... 
doi:10.1016/s1366-5545(00)00016-8 fatcat:6asjzxkoxzgpfbnf7ul6wjzyou

Explainable Recommendation: A Survey and New Perspectives [article]

Yongfeng Zhang, Xu Chen
2020 arXiv   pre-print
In this survey, we provide a comprehensive review for the explainable recommendation research.  ...  The explanations may either be post-hoc or directly come from an explainable model (also called interpretable or transparent model in some contexts).  ...  Acknowledgements We sincerely thank the reviewers for providing the valuable reviews and constructive suggestions. The work is partially supported by National Science Foundation (IIS-1910154).  ... 
arXiv:1804.11192v10 fatcat:scsd3htz65brbiae35zd3nixe4

The politics of physicists social models [article]

Pablo Jensen
2019 arXiv   pre-print
What is more, since physicists have always needed to tame the world inside laboratories to make their models relevant, I suggest that social modeling might be linked to human taming, a smashing political  ...  I argue that while they may be conceptually useful to correct our intuitive models of social mechanisms, their relevance for real social systems is moot.  ...  What is more, since physicists have always needed to 'tame' the world inside laboratories to make their models relevant, I suggest that social modeling might be linked to human taming, a smashing political  ... 
arXiv:1903.00964v1 fatcat:edvv6ug5urdcvejwvbtlmxuzpu

Persisters, persistent infections and the Yin–Yang model

Ying Zhang
2014 Emerging Microbes and Infections  
Persisters underlie persistent and latent infections and post-treatment relapse, posing significant challenges for the treatment of many bacterial infections.  ...  The current definition of persisters has drawbacks, and a Yin-Yang model is proposed to describe the heterogeneous nature of persisters that have to be defined in highly specific conditions.  ...  I thank Peng Cui (Huashan Hospital, Fudan University, China) for help with drawing Figure 1 .  ... 
doi:10.1038/emi.2014.3 pmid:26038493 pmcid:PMC3913823 fatcat:lkfwlbwg4zefxf5ttytnilcobm

The politics of physicists' social models

Pablo Jensen
2019 Comptes rendus. Physique  
What is more, since physicists have always needed to 'tame' the world inside laboratories to make their models relevant, I suggest that social modeling might be linked to human taming, a smashing political  ...  I argue that while they may be conceptually useful to correct our intuitive models of social mechanisms, their relevance for real social systems is moot.  ...  To become relevant, social models will have to 'tame' humans, for example by using the "social credit" system currently being developed in China [38] .  ... 
doi:10.1016/j.crhy.2019.05.016 fatcat:4tjftmjucfgqlbimtrndrmpata

Empirical Differences in Omission Tendency and Reading Ability in PISA

Taichi Okumura
2014 Educational and Psychological Measurement  
Tree-Based Item Response Models De Boeck and Partchev (2012) proposed item response models for data with a binary response tree (hereafter abbreviated as IRTree models).  ...  /kiru tame no chishiki to ginou [Knowledge and skills for life] (Volume 4). Tokyo, Japan: Gyousei. OECD. (2010a).  ... 
doi:10.1177/0013164413516976 fatcat:yynx2ue27vddnelsusuduuorqe

Exploring the Latent Space of Autoencoders with Interventional Assays [article]

Felix Leeb, Stefan Bauer, Michel Besserve, Bernhard Schölkopf
2022 arXiv   pre-print
More specifically, we develop tools to probe the representation using interventions in the latent space to quantify the relationships between latent variables.  ...  Our analyses underscore the importance of studying the causal structure of the representation to improve performance on downstream tasks such as generation, interpolation, and inference of the factors  ...  The models are trained for 100k iterations with a batch size of 64 (128 for MNIST and Fashion-MNIST).  ... 
arXiv:2106.16091v2 fatcat:2ibhqhi3x5eg7iptdynz23xj7u

Harnessing value from data science in business: ensuring explainability and fairness of solutions [article]

Krzysztof Chomiak, Michał Miktus
2021 arXiv   pre-print
For fairness, the authors discuss the bias-inducing specifics, as well as relevant mitigation methods, concluding with a set of recipes for introducing fairness in data-driven organizations.  ...  Additionally, for XAI, the authors audit specific algorithms paired with demonstrational business use-cases, discuss a plethora of techniques of explanations quality quantification and provide an overview  ...  For instance, a model trained on a dataset of 3D objects might learn independent latent units receptive to individual data generative factors, such as object position, scale or colour.  ... 
arXiv:2108.07714v1 fatcat:s36ftwpzyvbaxnawhtcdtpyobe

Advances in understanding the ecology of invasive crop insect pests and their impact on IPM [chapter]

Robert Venette, USDA Forest Service, USA, Amy Morey, University of Minnesota, USA
2019 Achieving sustainable cultivation of grain legumes Volume 2  
For example, the problem with invasive species, broadly speaking, has been attributed to economic globalization, climate change, phytosanitary failures and public unawareness, among other factors.  ...  In fact, the ET for soybean aphid, Aphis glycines, (~250 aphids per plant) was not published until 7 years after the aphid was first confirmed in North America (Ragsdale et al., 2007) .  ... 
doi:10.19103/as.2019.0047.06 fatcat:vobzm3y2tzbqdoirr4vzbjbj3m

Socio-Entropy System Approach for Analyzing of Social Forestry Management in Indonesia

I A Hasbullah, N Asmani, M Yazid
2016 Jurnal Manajemen Hutan Tropika  
Data was analysed using structural equation modeling.  ...  Finally, the crucial factors of socio-cultural entropy were the faded away adat-law, weakening social norms, and absence of inter-ethnic but more closed, and traditional networking.  ...  In addition, the preparation of latent variables of covariates manifest (manifest variables) are analogous to the technique used in the factor analysis.  ... 
doi:10.7226/jtfm.22.2.126 fatcat:n3uw3dgc6vel3mj6jw4pjie3pi

WATER-SOCIETY RELATIONS AND THE HISTORY OF THE LONG TERM [chapter]

2021 WATER AND SOCIETY  
The latent energy in the water from rain and snowmelt in the highlands is therefore much greater than in most other countries, and due to the fact that precipitation falls as snow for part of the year,  ...  to subdue the farmers. 13 Kåre Lunden explains this unique situation basically using an economic model, focusing on the soil/work quotient. 14 These explanations may both be useful but they both overlook  ... 
doi:10.5040/9780755606511.0013 fatcat:sdwashy5m5eurbyzj2i24ch5ai

Neural mechanisms underlying the temporal organization of naturalistic animal behavior [article]

Luca Mazzucato
2022 arXiv   pre-print
In this review, we provide a critical assessment of the existing behavioral and neurophysiological evidence for these sources of temporal variability in naturalistic behavior.  ...  We assess the shortcomings and missing links in the current theoretical and experimental literature and propose new directions of investigations to fill these gaps.  ...  I would like to acknowledge the reviewers for providing critical feedback and suggestions.  ... 
arXiv:2203.02151v1 fatcat:m3cnresdcndz7hhr2qizhrmxlu

Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges

Muhammad Usama, Junaid Qadir, Aunn Raza, Hunain Arif, Kok-lim Alvin Yau, Yehia Elkhatib, Amir Hussain, Ala Al-Fuqaha
2019 IEEE Access  
and optimal control (e.g., for developing autonomous self-driving cars).  ...  In addition, unsupervised learning can unconstrain us from the need for labeled data and manual handcrafted feature engineering, thereby facilitating flexible, general, and automated methods of machine  ...  LATENT VARIABLE MODELS A latent variable model is a statistical model that relates the manifest variables with a set of latent or hidden variables.  ... 
doi:10.1109/access.2019.2916648 fatcat:xutxh3neynh4bgcsmugxsclkna

Consistency of Maximum Likelihood for Continuous-Space Network Models I [article]

Cosma Rohilla Shalizi, Dena Marie Asta
2022 arXiv   pre-print
We study the embedding problem for these models, of recovering the latent positions from the observed graph.  ...  A very popular class of models for networks posits that each node is represented by a point in a continuous latent space, and that the probability of an edge between nodes is a decreasing function of the  ...  We are grateful for valuable discussions with Carl Bergstrom, Elizabeth Casman, David Choi, Aaron Clauset, Steve Fienberg, Christopher Genovese, Aryeh Kontorovich, Dmitri Krioukov, Cris Moore, Alessandro  ... 
arXiv:1711.02123v3 fatcat:e7m6ac72pveipimomnv3guimhu

Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges [article]

Muhammad Usama, Junaid Qadir, Aunn Raza, Hunain Arif, Kok-Lim Alvin Yau, Yehia Elkhatib, Amir Hussain, Ala Al-Fuqaha
2017 arXiv   pre-print
control (e.g., for developing autonomous self-driving cars).  ...  We provide a comprehensive survey highlighting the recent advancements in unsupervised learning techniques and describe their applications for various learning tasks in the context of networking.  ...  Latent Variable Models A latent variable model is a statistical model that relates the manifest variables with a set of latent or hidden variables.  ... 
arXiv:1709.06599v1 fatcat:llcg6gxgpjahha6bkhsitglrsm
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