a Department of Gynecology, Martin-Luther-University, Halle/Saale, Germany; b Division of Hematology-Oncology, Department of Internal Medicine, American University of Beirut, Beirut, Lebanon; c Peter MacCallum Cancer Centre, Melbourne, Australia; d Department of Oncology and Radiotherapy, Medical University of Gda ’ nsk; Gdansk, Poland; e Helen Diller Family Comprehensive Cancer Center, Univers...

This paper reports a tool which assists the user in annotating a video corpus and enables the user to search for a semantic or pragmatic structure in a GDA tagged corpus. An XQL format is allowed for search patterns as well as a plain phrase. This tool is capable of generating a GDA timestamped corpus from a video file manually. It will be publicly available for academic purposes.

Empirical embolization of the gastroduodenal artery (GDA) is accepted as a safe and effective treatment option for endoscopy-refractory nonvariceal upper gastrointestinal bleeding (UGIB) in patients with high surgical risk. Nontarget embolization is a recognized complication of transarterial embolization, however, symptomatic pancreatic injury is extremely rare. We report a patient who develope...

In certain adversarial environments, reinforcement learning (RL) techniques require a prohibitively large number of episodes to learn a highperforming strategy for action selection. For example, Q-learning is particularly slow to learn a policy to win complex strategy games. We propose GRL, the first GDA system capable of learning and reusing goal-specific policies. GRL is a case-based goal-dri...

Discovering underlying structure from co-occurrence data is an important task in a variety of fields, including: insurance, intelligence, criminal investigation, epidemiology, human resources, and marketing. Previously Kubica et. al. presented the group detection algorithm (GDA) an algorithm for finding underlying groupings of entities from co-occurrence data. This algorithm is based on a proba...

NNPC has been used widely to control nonlinear systems. However traditional gradient decent algorithm (GDA) needs a large computational cost, so that NNPC is not acceptable for systems with rapid dynamics. To apply NNPC in fast control of mobile robots, the paper proposes an improved optimization technique, particle swarm optimization with controllable random exploration velocity (PSO-CREV), to...

Support Vector Machines (SVM) is a supervised learning method used for classification. The learning strategy of SVM is based on structural risk minimization principle, so SVM has a better ability to generalize than other methods which depend on empirical risk minimization principle. However, when any classification methods face a dataset which is linearity inseparable, they will face a difficul...

Objective Postpancreatectomy hemorrhage (PPH) is an uncommon but serious complication of Whipple surgery. To evaluate the radiologic features associated with late PPH at the first postoperative follow up CT, before bleeding. Materials and Methods To evaluate the radiological features associated with late PPH at the first follow-up CT, two radiologists retrospectively reviewed the initial post...

In practical applications, we often have to deal with high order data, such as a grayscale image and a video sequence are intrinsically 2nd-order tensor and 3rd-order tensor, respectively. For doing clustering or classification of these high order data, it is a conventional way to vectorize these data before hand, as PCA or FDA does, which often induce the curse of dimensionality problem. For t...