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Compact Representation of Uncertainty in Clustering
For many classic structured prediction problems, probability distributions over the dependent variables can be efficiently computed using widely-known algorithms and data structures (such as forward-backward, and its corresponding trellis for exact probability distributions in Markov models). However, we know of no previous work studying efficient representations of exact distributions over clusterings. This paper presents definitions and proofs for a dynamic-programming inference procedure that computes the partition function, the marginal probability of a cluster, and the MAP clustering---all exactly. Rather than the Nth Bell number, these exact solutions take time and space proportional to the substantially smaller powerset of N. Indeed, we improve upon the time complexity of the algorithm introduced by Kohonen and Corander (2016) for this problem by a factor of N. While still large, this previously unknown result is intellectually interesting in its own right, makes feasible exact inference for important real-world small data applications (such as medicine), and provides a natural stepping stone towards sparse-trellis approximations that enable further scalability (which we also explore). In experiments, we demonstrate the superiority of our approach over approximate methods in analyzing real-world gene expression data used in cancer treatment.
clustering  uncertainty 
yesterday by arsyed
Just Research in Contentious Times 9780807758731 | Teachers College Press
"In this intensely powerful and personal new text, Michelle Fine widens the methodological imagination for students, educators, scholars, and researchers interested in crafting research with communities. Fine shares her struggles over the course of 30 years to translate research into policy and practice that can enhance the human condition and create a more just world. Animated by the presence of W.E.B. DuBois, Gloria Anzaldúa, Maxine Greene, and Audre Lorde, the book examines a wide array of critical participatory action research (PAR) projects involving school pushouts, Muslim American youth, queer youth of color, women in prison, and children navigating under-resourced schools. Throughout, Fine assists readers as they consider sensitive decisions about epistemology, ethics, politics, and methods; critical approaches to analysis and interpretation; and participatory strategies for policy development and organizing. Just Research in Contentious Times is an invaluable guide for creating successful participatory action research projects in times of inequity and uncertainty.

Book Features:

• Reviews the theoretical and historical foundations of critical participatory research.
• Addresses why, how, with whom, and for whom research is designed.
• Offers case studies of critical PAR projects with youth of color, Muslim American youth, indigenous and refugee activists, and LGBTQ youth of color.
• Integrates critical race, feminist, postcolonial, and queer studies."
michellefine  toread  webdubois  gloriaanzaldúa  maxinegreene  audrelorde  participatory  research  paricipatoryactionresearch  justice  methodology  queer  postcolonialism  objectivity  subjectivity  strongobjectivity  ethics  politics  methods  education  feminism  philosophy  situated  uncertainty  inequality  inequit  dialogue  criticalparticipatoryactionresearch  inquiry  distance  bias  epispemology 
12 days ago by robertogreco
Estigator – Estimates with teeth
"Estigator makes complex estimates easy for you and your clients."
consulting  business  time  estimate  uncertainty  project 
14 days ago by sometimesfood
‘Farsighted’ Review: How to Make Up Your Mind - WSJ
14 COMMENTS
By David A. Shaywitz
Sept. 11, 2018

..mission planners first systematically widened their thinking to define their options as broadly as possible, seeking a “full-spectrum appraisal of the state of things and a comprehensive list of potential choices.” Then they coned down the alternatives by playing out multiple scenarios, exploring all the ways the mission could go wrong........When faced with complex choices we tend to frame problems in a narrow fashion. .......seek participation from as broad and diverse a group as possible.....a diversity of viewpoints isn’t enough. Citing the legal scholar Cass Sunstein, Mr. Johnson observes that, although “groups often possess a rich mix of information distributed among their members,” when they assemble “they tend to focus on shared information.” Thus it is important to design a process that exposes “unshared information”—by meeting individually with stakeholders, for instance, instead of merely convening a town hall. Similarly, he cites research revealing that two-thirds of organizational decisions never contemplate more than a single option. There is a “gravitational pull toward the initial framing of the decision.” To overcome it, he suggests considering what might be done if the presumptive path forward were suddenly blocked....“Uncertainty can’t simply be analyzed out of existence,” ...What scenarios and simulations can offer is a way to “prepare you for the many ways that the future might unexpectedly veer.”..... Linear value modeling, for example, weighs the relative importance of different goals, while a bad-outcomes approach examines worst-case possibilities........given the challenges of making high-stakes global decisions. How should we respond, as a planet, to the challenges of addressing climate change, communicating with alien life forms or managing computers with superintelligence? The answer seems to be: by convening diverse experts and hoping for the best. ....... Great novels matter because “they let us experience parallel lives, and see the complexity of those experiences in vivid detail.”........ fundamentally, choices concern competing narratives, and we’re likely to make better choices if we have richer stories, with more fleshed-out characters, a more nuanced understanding of motives, and a deeper appreciation of how decisions are likely to reverberate and resound.
books  book_reviews  decision_making  far-sightedness  shared_experiences  Steven_Johnson  uncertainty  worst-case  scenario-planning  choices  novels  thinking_tragically  wide-framing  unshared_information  howto  narrow-framing  Cass_Sunstein 
20 days ago by jerryking

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