This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
The paper argues for the use of general and intuitive knowledge representation languages (and simpler notational variants, e.g. subsets of natural languages) for indexing the cont...
Background: A fundamental problem when trying to define the functional relationships between proteins is the difficulty in quantifying functional similarities, even when well-stru...
Angela del Pozo, Florencio Pazos, Alfonso Valencia
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
The past few years have seen an explosive growth in scientific and regulatory documents related to the patent system. Relevant information is siloed into many heterogeneous and di...
Siddharth Taduri, Gloria T. Lau, Kincho H. Law, Ha...