"At the highest level of generality, a general CBR cycle may be described by the following four processes:
– Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. Agnar Aamodt & Enric Plaza. AI Communications. IOS Press, Vol. 7: 1, pp. 39-59.
However, Damore says that before he was fired, he filed a complaint, formally known as a charge, with the National Labor Relations Board, which administers some aspects of federal labor law. Under the National Labor Relations Act, it's against federal law to fire someone in retaliation for filing a complaint to the board, lawyers say. Damore says he also plans to invoke a California law that bars employers from retaliating against workers who complain about illegal working conditions. Wagner says that under California law, the burden of proof may fall on Google to show that it didn't retaliate against Damore for posting the memo complaining about discrimination, rather than on Damore to prove that he was retaliated against.
In pattern recognition, the KNN algorithm is a method for classifying objects based on closest training examples in the feature space. KNN is a type of instance-based learning, or lazy learning where the function is only approximated locally and all computation is delayed until classification. The KNN is the fundamental and simplest classification technique when there is little or no prior knowledge about the distribution of the data. The K in KNN refers to number of nearest neighbors that the classifier will use to make its predication.
In an early morning fatal crash Wednesday, which resulted from wrong-way driving (WWD), two people died in Annapolis, Maryland. "Traffic safety and highway design literature has historically defined a wrong-way driving (WWD) crash as one in which a vehicle traveling in a direction opposing the legal flow of traffic on a high-speed divided highway or access ramp collides with a vehicle traveling on the same roadway in the proper direction," according to the website of Department of Transportation Federal Highway Administration. This figure represents approximately 1 percent of the total number of traffic related fatalities which takes place annually, the Department of Transportation Federal Highway Administration reported. In 2016, the Arizona Department of Public Safety had received more than 1,600 reports of a wrong-way driver, a report said citing Raul Garcia, public information officer for the Arizona Department of Public Safety.
His parents want him to be sent to the United States for experimental therapy -- Wenstrup and Rep. Trent Franks, R-Ariz., say they'll introduce a bill to grant the family legal permanent residence, presumably easing their path to seeking life-saving treatment in the U.S. The London court put a little more time on the clock Monday, giving Gard's parents until Wednesday afternoon to submit new evidence their son should receive experimental treatment that could save his life. We offer Connie Yates and Chris Gard our heartfelt support as they seek to care for their son." The hospitals have also offered to take the medication to London and provide doctors at Great Ormond Street Hospital as well.
A British court is allowing the parents of a terminally ill baby the opportunity to present fresh evidence to prove their son should receive experimental treatment and not be taken off life support. The hospital applied for the new court hearing last week because of "new evidence relating to the potential treatment for his condition" presented by researchers at the Vatican's children's hospital and another medical facility outside of Britain. Francis gave Chris Gard and Connie Yates, Charlie's parents, until Wednesday to present new evidence and set a new hearing for Thursday. Chris Gard and Connie Yates hold their baby son, Charlie Gard, at Great Ormond Street Hospital in London.
That ruling, if it comes to be, would subject Uber to more rules related to safety and employment. Uber today works only with professional licensed drivers in France." France has been pushing back against Uber's growth with authorities declaring that the service should not simply be viewed as a technology company but rather be subjected to the same licensing fees and insurance requirements as taxis. Uber suspended UberPop, its low-cost service similar to UberX in the United States, back in 2015 and has said it has no plans to relaunch the service.
Ravel Law is a startup that offers a case analytics tool that analyzes the language contained in case law and allows attorneys to quickly find not only cases similar to theirs, but also other cases that cite those similar cases. Lex Machina uses technology similar to Ravel's to analyze the language in case law to enhance legal research. Ross Intelligence also uses natural language processing to assist with legal research. And CaseIQ, a product of Indian startup CaseMine, speeds legal research in ways similar to Ravel and Lex Machina.
It can collaborate data (public and private), and develop case strategy (after analyzing piles of case law data and discover material). In one of the articles published on Future of Everything – Ask The Thought Leaders: What's The Future Of Artificial Intelligence And Law?, our CEO Rishi Khanna said, "The legal industry has been untouched till now. He added that the fact that Artificial Intelligence addresses the challenges of the legal industry (which have been there for years), which is what will make it irresistible. Additionally, data mining and predictive analysis techniques will enable predicting the most probable outcome of a legal case.
So, imagine a runner, let's call her Ann, who has previously run the London marathon in a time of 4 hours 13 minutes (253 minutes), with a given pacing profile; that is, a given set of split-paces. This is a common machine learning technique, based on the intuition that, to solve some new problem (predicting a PB time for Ann) we should look to similar problems in the past (those runners who ran similar non-PB times to Ann) and use their solutions (subsequent PB times) as the basis of a prediction for Ann. In the case of our marathon PB prediction task, if we have lots and lots of cases, covering male and female runners, of all ages and experience levels, and representing a wide range of finish-times, then we have a good chance of being able to find similar runners to act as a basis of a prediction for any given runner whose PB we wish to predict. A key idea in case-based reasoning concerns how we determine the similarity between a new situation (Ann's recent marathon race) and a past problem in some case (Sarah's non-PB race).