We consider the problem of learning soft assignments of N items to K categories given two sources of information: an item-category similarity matrix, which encourages items to be assigned to categories they are similar to (and to not be assigned to categories they are dissimilar to), and an item-item similarity matrix, which encourages similar items to have similar assignments. We propose a sim...

In this paper we propose a novel method for reasoning about actions and knowledge that has optimal computational complexity. In our approach, we use two different extensions of public announcement logic (PAL). The first, PALA, extends PAL with assignments, and the second, that we call PALAT, extends PAL with assignments and tests; both are equally expressive. First, we encode Scherl&Levesque’s ...

This document is the User Manual for the decision support software IRIS Interactive Robustness analysis and parameters' Inference for multicriteria Sorting problems (Version 2). This tool has been built to support the assignment of actions (alternatives, projects, candidates) described by their evaluation (performance) at multiple dimensions (criteria) to a set of predefined ordered categories,...

By far, the most complicated case in target tracking is to track multiple maneuvering targets in heavy clutter. Numerous methods and algorithms have been devoted to this problem and for any one of them pros and cons can be pointed out. Theoretically, for example, the MHT method is known to be the most powerful approach to tracking multiple maneuvering targets in clutter. This method, however, v...

The Gene3D database (http://www.biochem.ucl.ac.uk/bsm/cath_new/Gene3D/) provides structural assignments for genes within complete genomes. These are available via the internet from either the World Wide Web or FTP. Assignments are made using PSI-BLAST and subsequently processed using the DRange protocol. The DRange protocol is an empirically benchmarked method for assessing the validity of stru...

OBJECTIVE The Enriched Semantic Network (ESN) was introduced as an extension of the Unified Medical Language System (UMLS) Semantic Network (SN). Its multiple subsumption configuration and concomitant multiple inheritance make the ESN's relationship structures and semantic type assignments different from those of the SN. A technique for deriving the relationship structures of the ESN's semantic...