We design a tractable Horn fragment of the Halpern-Shoham temporal logic and extend it to interval-based temporal description logics, instance checking in which is P-complete for ...
Alessandro Artale, Roman Kontchakov, Vladislav Ryz...
Identifying important components or factors in large amounts of noisy data is a key problem in machine learning and data mining. Motivated by a pattern decomposition problem in ma...
Stefano Ermon, Ronan Le Bras, Santosh K. Suram, Jo...
This paper proposes approaches to automatically create a large number of new bilingual dictionaries for lowresource languages, especially resource-poor and endangered languages, f...
Restricted Boltzmann Machines (RBMs) are an important class of latent variable models for representing vector data. An under-explored area is multimode data, where each data point...
Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha...
Topic modeling techniques have the benefits of modeling words and documents uniformly under a probabilistic framework. However, they also suffer from the limitations of sensitivi...
Ziqiang Cao, Sujian Li, Yang Liu, Wenjie Li, Heng ...