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, ...
Unsupervised discovery of synonymous phrases is useful in a variety of tasks ranging from text mining and search engines to semantic analysis and machine translation. This paper p...
Dishan Gupta, Jaime G. Carbonell, Anatole Gershman...
We describe an optimization-based approach for automatically creating well-edited movies from a 3D animation. While previous work has mostly focused on the problem of placing came...
Many search and security games played on a graph can be modeled as normal-form zero-sum games with strategies consisting of sequences of actions. The size of the strategy space pr...