Building accurate models takes a great deal of time, resources, and technical ability. The biggest challenge? You almost never know what model or feature combination will end…
Added by Benjamin Waxer on July 25, 2019 at 4:12am — No Comments
Each year, Risk Quant Europe Conference, a conference well-attended by practitioners from banking, asset management, insurers as well as academics from Europe, selects two papers to present in their annual conference.
For 2018, our paper is lucky to be one of the two winning papers selected by the Advisory Board for the conference to be held in London. Please feel free to check out our paper titled CDS Rate Construction Methods by Machine Learning…Continue
Added by Zhongmin Luo on February 24, 2018 at 2:00am — No Comments
Added by Giles Crouch on June 15, 2017 at 10:00am — No Comments
Does it sound familiar to you? In order to get an idea of how to choose a parameter for a given classifier, you have to cross reference to a number of papers or books, which often turn out to present competing arguments for or against a certain parameterization choice but with few applications to real-world problems.
For example, you may find a few papers discussing optimal selection of K in…Continue
In practice, we often have to make parameterization choices for a given classifier in order to achieve optimal classification performances; just to name a few examples:
Added by Zhongmin Luo on May 29, 2017 at 12:49am — No Comments