A probabilistic segment model combining lexical cohesion and disruption for topic segmentation Identifying topical structure in any text-like data is a challenging task. Most existing techniques rely either on maximizing a measure of the lexical cohesion or on detecting lexical disruptions. A novel method combining the two criteria so as to obtain the best trade-off between cohesion and disrupt...

We develop a probabilistic control algorithm, GTLProCo , for swarms of agents with heterogeneous dynamics and objectives, subject to high-level task specifications. The resulting algorithm not only achieves decentralized the swarm but also significantly improves scalability ov...

Disruption management during the airline scheduling process can be compartmentalized into proactive and reactive processes depending upon time of schedule execution. The state art for decision-making in disruption involves a heuristic human-centric approach that does not categorically study uncertainty managing disruptions. Hence, this paper introduces an transfer function model (UTFM) framewor...

In recent years, several researchers have concentrated on using probabilistic models in evolutionary algorithms. These Estimation Distribution Algorithms (EDA) incorporate methods for automated learning of correlations between variables of the encoded solutions. The process of sampling new individuals from a probabilistic model respects these mutual dependencies such that disruption of importan...

Natural disasters cause large-scale network service interruption which corresponds to unreachability of networks. This problem relates to how networks respond under extreme conditions, and it is neither well-studied nor well-understood. To infer network service disruption, challenges arise, i.e., how to use heterogeneous data that include sensory measurements and human inputs? This work shows a...

with the introduction of the use of seatbelts in cars, mortality following motor vehicle crashes has decreased significantly. however, two patterns of injuries, the ‘seatbelt sign’ and ‘seatbelt syndrome’ have emerged. injuries may consist of traumatic abdominal wall disruption. we present two cases of severe abdominal wall disruption caused by a seatbelt injury and treated with primary repair....

Title of dissertation: A Probabilistic Approach to Modeling Socio-Behavioral Interactions Arti Ramesh, Doctor of Philosophy, 2016 Dissertation directed by: Professor Lise Getoor Department of Computer Science In our ever-increasingly connected world, it is essential to build computational models that represent, reason, and model the underlying characteristics of real-world networks. Data genera...

costochondral and rib grafts have long been used for reconstruction of lost condyle. donor site morbidity has less been under investigation and researched. pleural disruption pneumothorax and ugly scars are among the donor site complications. this study aims to determine the rate of pleural disruption following costochondral graft harvesting from the 4th to the 7th ribs of right and left ribs f...