Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
In this paper we will briefly describe the approaches taken by the Cheshire (Berkeley) Group for the CLEF Adhoc-TEL 2009 tasks (Mono and Bilingual retrieval). Recognizing that man...
Conventional work on scientic discovery such as BACON derives empirical law equations from experimental data. In recent years, SDS introducing mathematical admissibility constrain...
We consider a setting for discriminative semisupervised learning where unlabeled data are used with a generative model to learn effective feature representations for discriminativ...
Nonaka and his knowledge transformation model SECI revolutionized the thinking about organizations as social learning systems. He introduced technical concepts like hypertext into...