Finite chase, or alternatively chase termination, is an important condition to ensure the decidability of existential rule languages. In the past few years, a number of rule langu...
Word alignment is an important natural language processing task that indicates the correspondence between natural languages. Recently, unsupervised learning of log-linear models f...
Deductive reasoning and inductive learning are the most common approaches for deriving knowledge. In real world applications when data is dynamic and incomplete, especially those ...
Colorization aims at recovering the original color of a monochrome image from only a few color pixels. A stateof-the-art approach is based on matrix completion, which assumes that...
Concept learning is a central problem for cognitive systems. Generalization techniques can help organize examples by their commonalities, but comparisons with non-examples, near-m...
Matthew D. McLure, Scott E. Friedman, Kenneth D. F...
Reinforcement learning for robot control tasks in continuous environments is a challenging problem due to the dimensionality of the state and action spaces, time and resource cost...
Argumentation can be viewed as a process of generating explanations. However, existing argumentation semantics are developed for identifying acceptable arguments within a set, rat...
The preferred treatment for kidney failure is a transplant; however, demand for donor kidneys far outstrips supply. Kidney exchange, an innovation where willing but incompatible p...
Studying the bursty nature of cascades in social media is practically important in many applications such as product sales prediction, disaster relief, and stock market prediction...
Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zho...
Following recent analyses of iterative voting and its effects on plurality vote outcomes, we provide a general characterisation of the set of equilibria attainable by iterative p...
Zinovi Rabinovich, Svetlana Obraztsova, Omer Lev, ...