Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
As the amount of biological data continues to increase, how biologists share data and analysis tools efficiently is becoming an important issue. Web service technology is a promis...
Zhiming Wang, John A. Miller, Jessica C. Kissinger...
– The use of design patterns such as the GRASP (General Responsibility Assignment Software Principles) or GoF (Gang-of-Four) patterns in software engineering has been well-docume...
Cyril S. Ku, Thomas J. Marlowe, Tatyana Budanskaya...
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
In this paper we present a novel approach for inducing word alignments from sentence aligned data. We use a Conditional Random Field (CRF), a discriminative model, which is estima...