The naive classifier is a well-established mathematical model whose simplicity, speed and accuracy have made it a popular choice for classification in AI and engineering. In this ...
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
Joseph O'Sullivan, John Langford, Rich Caruana, Av...
Often software systems are developed by organizations consisting of many teams of individuals working together. Brooks states in the Mythical Man Month book that product quality i...
Nachiappan Nagappan, Brendan Murphy, Victor R. Bas...
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
The purpose of this paper is threefold. First, we study the evolution of the web based on data available from an earlier snapshot of the web and compare the results with those pre...
Wei-Tsen Milly Chiang, Markus Hagenbuchner, Ah Chu...