Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
1 In traditional direct marketing, the implicit assumption is that customers will only purchase the product if they are contacted. In real business environments, however, there ar...
Yi-Ting Lai, Ke Wang, Daymond Ling, Hua Shi, Jason...
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Classification problems with functionally structured input variables arise naturally in many applications. In a clinical domain, for example, input variables could include a time...