I am wondering if there is any research out their about an kNN classifier with a optimized algorithm where a function is trained upon the training data set that maps a point to a value of k. Then, when the algorithm needs to classify a new point, it first looks for the nearest point in this trained function to find what value k it should use. Any thoughts or links to research like this?
We live in a world run by algorithms, computer programs that make decisions or solve problems for us. In this riveting, funny talk, Kevin Slavin shows how modern algorithms determine stock prices, espionage tactics, even the movies you watch. But, he asks: If we depend on complex algorithms to manage our daily decisions -- when do we start to lose control?
This is the second'I, Lawyer' podcast Artificial Lawyer/TromansConsulting has done with Sweden's leading legal tech writer, Fredrik Svärd, who runs the super-informative, Legaltech.se In this approximately 30 minutes chat we knock around a few subjects, such as where legal AI as an industry has got to; how the use of algorithms does not always mean there is any AI involved; why AI may be the answer to removing bias rather than the cause of it, and much, much more. We also give a special shout out to Lexpo, which is now just around the corner and will take place in Amsterdam 8 9 May 2017. Many thanks to Fred for organising and producing the podcast, which is below on Soundcloud.
It is not necessary to learn programming to write algorithms. In fact we should learn to write algorithms way before learning to program. An algorithm is nothing but step by step solution to a problem. Each step should be an instruction for computer to execute. Instructions should be mentioned clearly without any ambiguity.
The research increases the CMA's expertise at a time of widespread scrutiny of pricing algorithms and how they interact with competition law. Pricing algorithms are commonplace online and used regularly by businesses. Whilst there was little evidence of companies using algorithms to show personalised prices, the study did find that they were sometimes used to change the order in which products are shown to shoppers. It also found that algorithms can be used to help implement illegal price fixing and, under certain circumstances, could encourage the formation of cartels. However, the risk of algorithms colluding without human involvement is currently less clear.