Home
Search results “Semantic web mining 2012 honda”
Yelawolf - Till It’s Gone (Official Music Video)
 
04:48
iTunes: http://smarturl.it/TillItsgone Sign up for updates: http://smarturl.it/Yelawolf.News Music video by Yelawolf performing Till It’s Gone. (C) 2014 Interscope Records Best of Yelawolf: https://goo.gl/vy7NZQ Subscribe here: https://goo.gl/ynkVDL #Yelawolf #TillItsGone #Vevo #HipHop #OfficialMusicVideo
Views: 93558180 YelawolfVEVO
MWRC 2007 - Simple Bayesian Networks with Ruby by Carl Youngblood
 
46:43
Help us caption & translate this video! http://amara.org/v/FGfv/
Views: 358 Confreaks
HCIR 2011: Human Computer Information Retrieval - Presentation I
 
01:26:40
HCIR 2011 The Fifth Workshop on Human-Computer Interaction and Information Retrieval October 20, 2011 Mountain View, CA Morning Session Presentations I more info at: http://hcir.info/hcir-2011
Views: 1512 GoogleTechTalks
Final Year Projects | Design and Implementation of a Web-Service-Based Public-Oriented
 
08:01
Final Year Projects | Design and Implementation of a Web-Service-Based Public-Oriented Personalized Health Care Platform Including Packages ======================= * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/lGybbe Chat Now @ http://goo.gl/snglrO Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us: [email protected]
Views: 6634 Clickmyproject
Auburn Coach Wife Kristi Malzahn Agrees with Match & eHarmony: Men are Jerks
 
12:23
My advice is this: Settle! That's right. Don't worry about passion or intense connection. Don't nix a guy based on his annoying habit of yelling "Bravo!" in movie theaters. Overlook his halitosis or abysmal sense of aesthetics. Because if you want to have the infrastructure in place to have a family, settling is the way to go. Based on my observations, in fact, settling will probably make you happier in the long run, since many of those who marry with great expectations become more disillusioned with each passing year. (It's hard to maintain that level of zing when the conversation morphs into discussions about who's changing the diapers or balancing the checkbook.) Obviously, I wasn't always an advocate of settling. In fact, it took not settling to make me realize that settling is the better option, and even though settling is a rampant phenomenon, talking about it in a positive light makes people profoundly uncomfortable. Whenever I make the case for settling, people look at me with creased brows of disapproval or frowns of disappointment, the way a child might look at an older sibling who just informed her that Jerry's Kids aren't going to walk, even if you send them money. It's not only politically incorrect to get behind settling, it's downright un-American. Our culture tells us to keep our eyes on the prize (while our mothers, who know better, tell us not to be so picky), and the theme of holding out for true love (whatever that is—look at the divorce rate) permeates our collective mentality. Even situation comedies, starting in the 1970s with The Mary Tyler Moore Show and going all the way to Friends, feature endearing single women in the dating trenches, and there's supposed to be something romantic and even heroic about their search for true love. Of course, the crucial difference is that, whereas the earlier series begins after Mary has been jilted by her fiancé, the more modern-day Friends opens as Rachel Green leaves her nice-guy orthodontist fiancé at the altar simply because she isn't feeling it. But either way, in episode after episode, as both women continue to be unlucky in love, settling starts to look pretty darn appealing. Mary is supposed to be contentedly independent and fulfilled by her newsroom family, but in fact her life seems lonely. Are we to assume that at the end of the series, Mary, by then in her late 30s, found her soul mate after the lights in the newsroom went out and her work family was disbanded? If her experience was anything like mine or that of my single friends, it's unlikely. And while Rachel and her supposed soul mate, Ross, finally get together (for the umpteenth time) in the finale of Friends, do we feel confident that she'll be happier with Ross than she would have been had she settled down with Barry, the orthodontist, 10 years earlier? She and Ross have passion but have never had long-term stability, and the fireworks she experiences with him but not with Barry might actually turn out to be a liability, given how many times their relationship has already gone up in flames. It's equally questionable whether Sex and the City's Carrie Bradshaw, who cheated on her kindhearted and generous boyfriend, Aidan, only to end up with the more exciting but self-absorbed Mr. Big, will be better off in the framework of marriage and family. (Some time after the breakup, when Carrie ran into Aidan on the street, he was carrying his infant in a Baby Björn. Can anyone imagine Mr. Big walking around with a Björn?)
Views: 208331 Shari Wing
RANDOM FOREST part1
 
08:17
Το βίντεο αυτό έχει γίνει στα πλαίσια του μαθήματος ΕΠΛ 341 και αφορά τον αλγόριθμο random forests.θεωρήσαμε αναγκαίο αφού το κοινό μας δεν είναι γνώστης της Τεχνητής Νοημοσύνης να κάνουμε μια εισαγωγή για τον κλάδο αυτό της πληροφορικής και μια πολύ σύντομη και αφαιρετική Ιστορική Αναδρομή. ακολουθεί ένα σύντομο βιογραφικό σημείωμα για τους 2 επιστήμονες που ανέπτυξαν αυτό τον αλγόριθμο. Στην τελευταία ενότητα του βίντεο που είναι και η μεγαλύτερη αναπτύξαμε και εξηγήσαμε τον αλγόριθμο random forest ο οποίος παρέχει αξιόπιστα αποτελέσματα, για μεγάλα σύνολα δεδομένων και αποτελείται από πολλά δέντρα ταξινόμησης που δίνουν την «ψήφο» τους για να παρθεί μια τελική απόφαση για ένα συγκεκριμένο στιγμιότυπο εισόδου. Παραθέτουμε πιο κάτω την βιβλιογραφία μας: http://en.wikipedia.org/wiki/Random_forest http://www.stat.berkeley.edu/~breiman/RandomForests/cc_home.htm http://www.dabi.temple.edu/~hbling/8590.002/Montillo_RandomForests_4-2-2009.pdf http://www.google.com/url?sa=t&rct=j&q=classification%20and%20regress... http://webdocs.cs.ualberta.ca/~aixplore/learning/DecisionTrees/ http://www.vision.ee.ethz.ch/~gfanelli/head_pose/head_forest.html http://www.springerlink.com/content/u0p06167n6173512/fulltext.pdf?MUD=MP διαφάνειες μαθήματος http://www.youtube.com/watch?v=Wz7fL433D4s http://en.wikipedia.org/wiki/Ethics_of_artificial_intelligence http://ezinearticles.com/?The-Definitions-of-Artificial-Intelligence&id=4... http://www.imdb.com/title/tt0133093/ http://en.wikipedia.org/wiki/The_Matrix http://www.tanea.gr/kosmos/article/?aid=4495895 http://en.wikipedia.org/wiki/Deep_Blue_versus_Garry_Kasparov http://www.stat.berkeley.edu/~breiman/ http://en.wikipedia.org/wiki/Leo_Breiman http://en.wikipedia.org/wiki/Artificial_neural_network http://www.math.usu.edu/~adele/ http://en.wikipedia.org/wiki/Timeline_of_artificial_intelligence http://www.youtube.com/watch?v=NJarxpYyoFI
Views: 1202 ucyepl341