We investigate the task of medical concept coreference resolution in clinical text using two semi-supervised methods, co-training and multi-view learning with posterior regularization. By extracting semantic and temporal features of medical concepts found in clinical text, we create conditionally independent data views; co-training MaxEnt classifiers on this data works almost as well as supervi...

in this paper, we generalize a theorem of shao [12] by assuming that is a sequence of linear negatively dependent random variables. also, we extend some theorems of chao [6] and thrum [14]. it is shown by an elementary method that for linear negatively dependent identically random variables with finite -th absolute moment the weighted sums converge to zero as where and is an array of real numbe...

The aim of the present paper is to characterize almost co-K?hler manifolds whose metrics are Riemann solitons. At first we provide a necessary and sufficient condition for metric 3-dimensional manifold be soliton. Next it proved that if an soliton with vector field ?, then flat. It also shown (?, ?)-almost ? < 0 soliton, expanding satisfies relation. We prove there does not exist gradient so...

Graph Neural Networks (GNNs) have proven to be effective in processing and learning from graph-structured data. However, previous works mainly focused on understanding single graph inputs while many real-world applications require pair-wise analysis for data (e.g., scene matching, code searching, drug-drug interaction prediction). To this end, recent shifted their focus the between pairs of gra...

We prove that the braid group on 4 or more strands modulo its center is co-Hopfian. We then show that any injective endomorphism of these braid groups is geometric in the sense that it is induced by a homeomorphism of a punctured disk. We further prove that any injection from the braid group on n strands to the braid group on n + 1 strands is geometric (n ≥ 7). Additionally, we obtain related r...

Let ‖z‖ 3 √ 2 be arbitrary. The goal of the present article is to derive graphs. We show that Borel’s condition is satisfied. The groundbreaking work of C. Sasaki on quasi-Maxwell–Ramanujan equations was a major advance. This could shed important light on a conjecture of Boole.

A tournament is a binary dominance relation on a set of alternatives. Tournaments arise in many contexts that are relevant to AI, most notably in voting (as a method to aggregate the preferences of agents). There are many works that deal with choice rules that select a desirable alternative from a tournament, but very few of them deal directly with incentive issues, despite the fact that gameth...