Users commonly use Web 2.0 platforms to post their opinions and their predictions about future events (e.g., the movement of a stock). Therefore, opinion mining can be used as a t...
Algorithmic reductions are one of the corner stones of theoretical computer science. Surprisingly, to-date, they have only played a limited role in machine learning. In this paper...
Quan Zhou, Wenlin Chen, Shiji Song, Jacob R. Gardn...
Sequential decision problems that involve multiple objectives are prevalent. Consider for example a driver of a semiautonomous car who may want to optimize competing objectives su...
To judge how much a pair of words (or texts) are semantically related is a cognitive process. However, previous algorithms for computing semantic relatedness are largely based on ...
This paper describes a learning-based approach for automatic derivation of word variant forms by the suffixation process. We employ the sequence labeling technique, which entails...
The abundance of algorithms developed to solve different problems has given rise to an important research question: How do we choose the best algorithm for a given problem? Known ...
Richard Jayadi Oentaryo, Stephanus Daniel Handoko,...
Timed Failure Propagation Graphs (TFPGs) are a formalism used in industry to describe failure propagation in a dynamic partially observable system. TFPGs are commonly used to perf...
Marco Bozzano, Alessandro Cimatti, Marco Gario, An...
Lifschitz and Turner introduced the notion of the splitting set and provided a method to divide a logic program into two parts. They showed that the task of computing the answer s...