... are few among us who can claim not to havedescended from foreign shores, and struggled to be liberated onAmerican soil.64 LearningfromMy Mother’s VoiceNameWong Shee ChewKim Lau LeeWong ... cousin My mother’s 80th birthday celebration with all her children.Reunion of my mother with Sel Ming,42 years after they separated; I meet my brother and his wife for the fi rst time.555 My ... isoften worn as an amulet to protect one from harm and evil; it is believedto have protective powers. My mother always told the story of a womanwho fell from a two-story window; the jade she was...
... with figures. I’m planningto discuss this with my mentor. Learning from the project205 pairing up and also with the whole team working with the learning whole team.When projects have been successful ... help their staff to write project Learning from the project201 proposals and to prepare the documentation that is needed throughoutthe project.SHARING LEARNINGFROM A PROJECTOne of the questions ... project. For this learning to be useful it needs to be recognizedand captured so that it can inform future development.ORGANIZATIONAL LEARNING ABOUTMANAGEMENT OF PROJECTSOrganizational learning is...
... feeling trickleddown to me through the veins of my forebears from the heart of that judge; for it is not my disposition to bebitter against people on my own personal account I am not bitter against ... the party wasCHAPTERS 11 CHAPTERS FROM MY AUTOBIOGRAPHY III.BY MARK TWAIN.VI.To-morrow will be the thirty-sixth anniversary of our marriage. My wife passed from this life one year andeight ... inherited both from her mother.MARK TWAIN.(To be Continued.)NORTH AMERICAN REVIEWNo. DCI.OCTOBER 19, 1906.CHAPTERS 24 CHAPTERS FROM MY AUTOBIOGRAPHY II.BY MARK TWAIN.II. My experiences...
... parent VP. The verb tense feature takes avalue of past, present, future, or undetermined.Verb Path: The verb path feature is the dependencypath from the nearest verb to the year expression.The ... the Verb Path exampleabove, the bigram feature Hu Jintao is included.4 Learning Time ConstraintsThis section departs from the above document clas-sifiers and instead classifies individual emphyearmentions. ... documents from each year. The test set in-cludes 11,300 documents in each year (monthsJune and August) for a total of 113,000 test doc-uments. The development set includes 7,300 from July...
... Callum Macrae Learning from jQuerywww.it-ebooks.info $('a#foo').click(function (e) { $(this).css('color', ... whenit clicked the element, and information on elements such as the current element andthe element from which the event was fired (they can be different if the event haspropagated). It also has ... jQuery, the return value doesn’t do anythingat all..preventDefault() stops the default action from happening. For example, if we hada link to some website with ID foo (<a href="http://example.com"...
... query, and new class members are extracted from the retrieved text snippets. We wanted thesystem to be as language-independent as possible,so we refrained from using any taggers or parsingtools. ... would elim-inate some of these cases, but far from all of them.We concluded that even such a restrictive pattern isnot sufficient for semantic class learning on its own. 0 0.1 0.2 0.3 0.4 ... semantic class learning, under a varietyof different names and with a variety of differentgoals. Given the great deal of similar work in infor-mation extraction and ontology learning, we focushere...
... nobody will touch them. He stays away from the buzz-generators. As a “life-long technophobe” (as he confesses on the Berkshire website), he stayed away from the high-tech companies when they ... big margins, and a good cash flow. So – after doing my research into the company’s growth strategy and management team – I recommended it to my subscribers. It’s now up over 80%. What did ... course I was taking, because I was following Warren Buffett’s investing philosophy. LEARNINGFROM A LEGEND: HOW W ARREN MADE HIS BILLIONSSPEC IA L R EPO R TBY ANDREW GORDON 11...
... a new transfer learning method to fuse the information from multiple pyramidlevels and different types of features.4ADAPTIVE MULTIPLE KERNEL LEARNING Following the terminology from prior literature, ... IEEE.DUAN ET AL.: VISUAL EVENT RECOGNITION IN VIDEOS BY LEARNINGFROM WEB DATA 1679 Visual Event Recognition in Videosby Learningfrom Web DataLixin Duan, Dong Xu, Member, IEEE, Ivor Wai-Hung ... Differences from Related Learning WorkA-SVM [50] assumes that the target classifie r fTxị isadapted from existing auxiliary classifiers fApxịs. However,our proposed method A-MKL is different from...
... : Learning factor Next, we set the relation factor =1.8, we in-spect the performance with the learning factor ranging from 0 to 1. =1 means that the ranking scores learn from ... either supervised or unsupervised methods. Supervised learning re-quires a large amount of expensive training data, whereas unsupervised learning totally ignores human knowledge. To overcome ... often good key phrases but they are far from enough. If we review the above example again, we will find that the key phrase “Internet” can be in-ferred from the title phrase “Web”. As a matter...
... proprietorship and a use economy to amarket-money economy; from a society of working peasant farmers to an economy resting upon war captivesreduced to slavery; from an economy based on production ... culture pattern was transformed from pastoral and/or agricultural to a culture based on trade, commerceand finance; from rural to urban; from simple to complex; from local toward universal.2. ... trade and profit to an economy based onpower-grabbing, special privilege, speculation and corruption; from an austerity economy based on primaryproduction to an economy based on affluence, exploitation,...
... large scale multitask learning. InProceedings of the 26th Annual InternationalConference on Machine Learning, pages 1113–1120. ACM.Widmer, G. and Kubat, M. (1996). Learning in thepresence ... concept drift is a real, perva-sive issue for learningfrom issue tracker streams.We show how to adapt to it by leveraging recentresearch in online learning algorithms. We alsomake our dataset ... ef-ficient in online classification, but also adapts onlyslowly.1.4 Online learning This paucity of research on online learning from issue tracker streams is rather surprising, giventhat truly incremental...
... 1098–1108,Portland, Oregon, June 19-24, 2011.c2011 Association for Computational Linguistics Learning From Collective Human Behavior toIntroduce Diversity in Lexical ChoiceVahed QazvinianDepartment ... us-ing the factoids from all 25 clusters in each cate-gory7. Each experiment is repeated 1, 000 times tofind the statistical significance of the experiment andthe variation from the average pyramid ... of 25 clusters of news headlines collected from Google News2, and the citations datasets have25 clusters of citations to specific scientific papers from the ACL Anthology Network (AAN)3. Eachcluster...
... significant problems with static electricity.The information in this book came from a number of sources including: stories from my experiences in the now defunct Louisiana Loss Prevention Association; ... Preventions.” I hope that my books in some way mimic Trevor Kletz’s styleof presenting clear, interesting anecdotes that illustrate process safety concepts. Hopefully, my recorded case histories ... Treatment,” Chemical Engineering Progress,New York, Feb. 1983: pp. 73–77.17. Kletz, Trevor A., Learningfrom Accidents in Industry, 2d ed. Oxford, U.K.: Butterworth-Heinemann, 1996.18. Kletz, Trevor...