Unlabel

Author : Marc Ecko
Publisher : Simon and Schuster
Page : 304 pages
File Size : 53,6 Mb
Release : 2015-05-05
Category : Biography & Autobiography
ISBN : 9781451685312

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Unlabel by Marc Ecko Pdf

"One of the most provocative entrepreneurs of our time, who started Eckō Unltd out of his parents' garage and turned it into a media empire, Marc Eckō reveals his formula for building an authentic brand or business. Marc Eckō began his career by spray-painting t-shirts in the garage of his childhood home in suburban New Jersey. A graffiti artist with no connections and no fashion pedigree, he left the safety net of pharmacy school to start his own company. Armed with only hustle, sweat equity, and creativity, he flipped a $5,000 bag of cash into a global corporation now worth $500 million. Unlabel is a success story, but it's one that shares the bruises, scabs, and gut-wrenching mistakes that every entrepreneur must overcome to succeed. Through his personal prescription for success--the Authenticity Formula--Eckō recounts his many innovations and misadventures in his journey from misfit kid to the CEO. It wasn't a meteoric rise; in fact, it was a rollercoaster that dipped to the edge of bankruptcy and even to national notoriety, but this is an underdog story we can learn from: Ecko's doubling down on the core principles of the brand and his formula for action over talk are all lessons for today's entrepreneurs. Ecko offers a brash message with his inspirational story: embrace pain, take risks, and be yourself. Unlabel demonstrates that, like or not, you are a brand and it's up you to take control of it and create something authentic. Unlabel is a groundbreaking guide to channeling your creativity, finding the courage to defy convention, and summoning the confidence to act and be competitive in any environment"--

Author : Nathanael William Chambers
Publisher : Stanford University
Page : 159 pages
File Size : 42,7 Mb
Release : 2011
Category : Electronic
ISBN : STANFORD:qk051hh1569

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Inducing Event Schemas and Their Participants from Unlabeled Text by Nathanael William Chambers Pdf

The majority of information on the Internet is expressed in written text. Understanding and extracting this information is crucial to building intelligent systems that can organize this knowledge, but most algorithms focus on learning atomic facts and relations. For instance, we can reliably extract facts like "Stanford is a University" and "Professors teach Science" by observing redundant word patterns across a corpus. However, these facts do not capture richer knowledge like the way detonating a bomb is related to destroying a building, or that the perpetrator who was convicted must have been arrested. A structured model of these events and entities is needed to understand language across many genres, including news, blogs, and even social media. This dissertation describes a new approach to knowledge acquisition and extraction that learns rich structures of events (e.g., plant, detonate, destroy) and participants (e.g., suspect, target, victim) over a large corpus of news articles, beginning from scratch and without human involvement. As opposed to early event models in Natural Language Processing (NLP) such as scripts and frames, modern statistical approaches and advances in NLP now enable new representations and large-scale learning over many domains. This dissertation begins by describing a new model of events and entities called Narrative Event Schemas. A Narrative Event Schema is a collection of events that occur together in the real world, linked by the typical entities involved. I describe the representation itself, followed by a statistical learning algorithm that observes chains of entities repeatedly connecting the same sets of events within documents. The learning process extracts thousands of verbs within schemas from 14 years of newspaper data. I present novel contributions in the field of temporal ordering to build classifiers that order the events and infer likely schema orderings. I then present several new evaluations for the extracted knowledge. Finally, I apply Narrative Event Schemas to the field of Information Extraction, learning templates of events with sets of semantic roles. Most Information Extraction approaches assume foreknowledge of the domain's templates, but I instead start from scratch and learn schemas as templates, and then extract the entities from text as in a standard extraction task. My algorithm is the first to learn templates without human guidance, and its results approach those of supervised algorithms.

Author : Anonim
Publisher : Unknown
Page : 196 pages
File Size : 49,9 Mb
Release : 1987
Category : Cancer
ISBN : MINN:31951002946918X

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International Symposium on Labeled and Unlabeled Antibody in Cancer Diagnosis and Therapy by Anonim Pdf

Author : Jianing Xi,Zhenhua Yu
Publisher : Frontiers Media SA
Page : 109 pages
File Size : 55,6 Mb
Release : 2022-01-05
Category : Science
ISBN : 9782889719679

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Unsupervised Learning Models for Unlabeled Genomic, Transcriptomic & Proteomic Data by Jianing Xi,Zhenhua Yu Pdf

Author : Hamed Mirzaei,Neda Rahimian,Hamid Reza Mirzaei,Javid Sadri Nahand,Michael R. Hamblin
Publisher : Springer Nature
Page : 134 pages
File Size : 55,7 Mb
Release : 2022-06-08
Category : Computers
ISBN : 9783031791789

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Positive Unlabeled Learning by Hamed Mirzaei,Neda Rahimian,Hamid Reza Mirzaei,Javid Sadri Nahand,Michael R. Hamblin Pdf

Machine learning and artificial intelligence (AI) are powerful tools that create predictive models, extract information, and help make complex decisions. They do this by examining an enormous quantity of labeled training data to find patterns too complex for human observation. However, in many real-world applications, well-labeled data can be difficult, expensive, or even impossible to obtain. In some cases, such as when identifying rare objects like new archeological sites or secret enemy military facilities in satellite images, acquiring labels could require months of trained human observers at incredible expense. Other times, as when attempting to predict disease infection during a pandemic such as COVID-19, reliable true labels may be nearly impossible to obtain early on due to lack of testing equipment or other factors. In that scenario, identifying even a small amount of truly negative data may be impossible due to the high false negative rate of available tests. In such problems, it is possible to label a small subset of data as belonging to the class of interest though it is impractical to manually label all data not of interest. We are left with a small set of positive labeled data and a large set of unknown and unlabeled data. Readers will explore this Positive and Unlabeled learning (PU learning) problem in depth. The book rigorously defines the PU learning problem, discusses several common assumptions that are frequently made about the problem and their implications, and considers how to evaluate solutions for this problem before describing several of the most popular algorithms to solve this problem. It explores several uses for PU learning including applications in biological/medical, business, security, and signal processing. This book also provides high-level summaries of several related learning problems such as one-class classification, anomaly detection, and noisy learning and their relation to PU learning.

Author : Anonim
Publisher : Unknown
Page : 26 pages
File Size : 48,7 Mb
Release : 1984
Category : Cotton fabrics
ISBN : OSU:32435051501583

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Formaldehyde Release from Labeled and Unlabeled Cross-linked Cotton and Cotton-polyester Fabrics by Anonim Pdf

Author : Andrea Vedaldi,Horst Bischof,Thomas Brox,Jan-Michael Frahm
Publisher : Springer Nature
Page : 858 pages
File Size : 48,7 Mb
Release : 2020-10-29
Category : Computers
ISBN : 9783030585488

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Computer Vision – ECCV 2020 by Andrea Vedaldi,Horst Bischof,Thomas Brox,Jan-Michael Frahm Pdf

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Author : Michelle Graham
Publisher : Unknown
Page : 151 pages
File Size : 50,6 Mb
Release : 2019-04-05
Category : Electronic
ISBN : 109137483X

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Unlabeled by Michelle Graham Pdf

"The human mind. It's where we live. We don't imagine it getting sick. Heart, lungs, skin, bones, liver, kidneys. These are parts of us, too. Our parts can get sick, and they can get better, with the right care." -Michelle Graham- "This is a miraculous memoir of a young woman's struggle with mental health. It is raw, touching, and most of all courageous and inspiring. A must read for anyone in the mental health field." - Margie O'Connor, LMSW, ACSW"As you read these words, know this is my past, but today I am well, and that should not be shamed. Insisting a person can't fully recover is destructive. I hope to inspire those who've dealt with mental health issues to find their voice, because many of us are silenced, and our secrets can cause unnecessary pain. We are all products of our environment and experiences, and this is my personal journey of mental illness to recovery to display hope and an understanding of what can happen to the human brain, when the heart and mind fall unaligned. I want to provide a pathway to wellness, and help make the mental health system more cost-effective, and ensure the health and safety of both patients and mental health care workers."Connect with Michelle on Instagram at: @BeyondPsychosisFacebook: http: //www.facebook.com/unlabeledreflectionsE-mail: [email protected]

Author : Hayit Greenspan,Anant Madabhushi,Parvin Mousavi,Septimiu Salcudean,James Duncan,Tanveer Syeda-Mahmood,Russell Taylor
Publisher : Springer Nature
Page : 828 pages
File Size : 53,5 Mb
Release : 2023-09-30
Category : Computers
ISBN : 9783031438950

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 by Hayit Greenspan,Anant Madabhushi,Parvin Mousavi,Septimiu Salcudean,James Duncan,Tanveer Syeda-Mahmood,Russell Taylor Pdf

The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.

Author : Shuigeng Zhou,Songmao Zhang,George Karypis
Publisher : Springer Science & Business Media
Page : 812 pages
File Size : 48,7 Mb
Release : 2012-12-09
Category : Computers
ISBN : 9783642355271

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Advanced Data Mining and Applications by Shuigeng Zhou,Songmao Zhang,George Karypis Pdf

This book constitutes the refereed proceedings of the 8th International Conference on Advanced Data Mining and Applications, ADMA 2012, held in Nanjing, China, in December 2012. The 32 regular papers and 32 short papers presented in this volume were carefully reviewed and selected from 168 submissions. They are organized in topical sections named: social media mining; clustering; machine learning: algorithms and applications; classification; prediction, regression and recognition; optimization and approximation; mining time series and streaming data; Web mining and semantic analysis; data mining applications; search and retrieval; information recommendation and hiding; outlier detection; topic modeling; and data cube computing.

Author : Ambika Vasudev
Publisher : Notion Press
Page : 217 pages
File Size : 50,8 Mb
Release : 2021-02-05
Category : Self-Help
ISBN : 9781637814536

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Confidence Mantras by Ambika Vasudev Pdf

As a career counsellor, I have met thousands of people throughout the course of my life. I’ve seen extremely successful people lead their lives as if they were born to rule the world. They knew what they wanted to do. And they went after it with everything they had, heart, mind and soul. There’s one characteristic that sets successful people apart from others. Makes them stand out like lions amidst a herd of sheep. It’s easy to spot them, thanks to that unmistakable aura. What is that quality? I’ve had many people write to me. They express their fears, lack of self-esteem. They tell me how they shiver at the thought of addressing people. Whether it’s a public speech or a social gathering, fear grips them and prevents them from doing anything else. Some of my friends also have the same problem. Not that they don’t work hard. No. They give everything they have. Yet, they struggle to become successful. So, what is that quality that separates successful people from others? You guessed it. It’s confidence. I’ve observed that most people are willing to work and give it their best shot, but they lack confidence. What exactly is confidence, though? Is it some mysterious secret you can’t possess? And why is it so hard to gain confidence especially when you need it the most? Well, confidence is a momentary emotion of clarity, certainty and control. Clarity of your thoughts, control over your mind, body and actions, and certainty for performance followed by commitment to your goal. Confidence is derived from “fidere” – from Latin, which means “trust”. Simply put, confidence is about trusting yourself. Then why does that trust waver at times? Because confidence is not permanent. It’s a momentary strength that needs to be practiced. There are several techniques, scientific and creative to do that. And, this book will reveal 101 ways to do it

Author : Anonim
Publisher : Unknown
Page : 1204 pages
File Size : 50,8 Mb
Release : 1827
Category : Electronic
ISBN : BML:37001102727232

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The Parliamentary Writs... by Anonim Pdf

Author : Ian H. Witten,Eibe Frank
Publisher : Elsevier
Page : 560 pages
File Size : 49,9 Mb
Release : 2005-07-13
Category : Computers
ISBN : 008047702X

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Data Mining by Ian H. Witten,Eibe Frank Pdf

Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses. Algorithmic methods at the heart of successful data mining—including tried and true techniques as well as leading edge methods Performance improvement techniques that work by transforming the input or output

Author : John Wang
Publisher : IGI Global Snippet
Page : 596 pages
File Size : 41,5 Mb
Release : 2009
Category : Business & Economics
ISBN : 1605660108

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Encyclopedia of Data Warehousing and Mining by John Wang Pdf

"This set offers thorough examination of the issues of importance in the rapidly changing field of data warehousing and mining"--Provided by publisher.

Author : Charles L. Opperman,Charles Orval Appleman,G. E. Wolcott,John Robert Haswell,Philip Smith,Robert Ward Lamson,Samuel Sutherland Buckley,Thomas H. White,Walter Raymond Ballard,John F. Monroe,John Bitting Smith Norton,Robert Henry Ruffner
Publisher : Unknown
Page : 502 pages
File Size : 48,7 Mb
Release : 1913
Category : Apples
ISBN : UIUC:30112019611331

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The Physical Character of the Curd of Milk from Different Breeds by Charles L. Opperman,Charles Orval Appleman,G. E. Wolcott,John Robert Haswell,Philip Smith,Robert Ward Lamson,Samuel Sutherland Buckley,Thomas H. White,Walter Raymond Ballard,John F. Monroe,John Bitting Smith Norton,Robert Henry Ruffner Pdf