Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
an abstract model for information sharing and integration and use it to develop an architecture for building open, component-based, interoperable systems. A geographic information ...
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...
Component recovery and remodularization is a means to get back control on large and complex legacy systems suffering from ad-hoc changes by recovering logical components and restr...