This chapter presents three applications of possibilistic concepts in the domain of soft pattern classification. The first one is on pixel-based image classification where an approach referred as Iterative Refinement of Possibility Distributions by Learning (IRPDL) is presented. The IRPDL approach is ...
A large number of algorithms have been developed for classification and recognition. These algorithms can be divided into three major paradigms: statistical pattern recognition, neural networks, and model-based vision. Neural networks embody an especially rich field of approaches based on a variety of...
training over the target task without explicit supervision over the concepts. BotCL uses tailored regularizers so that learned concepts can be human-understandable. Using some image classification tasks as our testbed, we demonstrate BotCL's potential to remodel neural networks for better ...
Three major classification schemes for malignant non-Hodgkin's lymphomas are widely applied today: Rappaport's classification, the Kiel classification, and the New Working Formulation for Clinical Usage. All three classifications define prognostically relevant lymphoma entities yet can only partly be transl...
Impact of the clinical ultrasound elective course on retention of anatomical knowledge by second-year medical students in preparation for board exams Ultrasound has been integrated into a gross anatomy course taught during the first year at an osteopathic medical school. A clinical ultrasound elective ...
Time series classification attracted significant interest over the past decade as a result of the enormous data which can be inserted into the Cyber-Physic... C Ji,C Zhao,L Pan,... - 《Computer Networks》 被引量: 0发表: 2019年 A Deep Ensemble Learning Method for Effort-Aware Just-In-Ti...
Layer creation for scene layers follows the same pattern(s) used for other service layers. Namely, specify the Uri to the scene service or local .slpk file as the Uri parameter to LayerFactory. If, in your code, you have reference to an item in Catalog that likewise points to a scene ...
Short Dual Intent Entity Transformer (DIET) used for intent classification and entity extraction Outputs entities, intent and intent_ranking Requires dense_features and/or sparse_features for user message and optionally the intent Output-Example { "intent": {"name": "greet", "confidence": 0.8343...
Classification is considered as a fundamental step towards improved science and management data. Introducing methods that describe the underlying dynamics of runoff could be a promising way for catchment classification. In this respect, chaos theory and correlation dimension were applied to test its abili...
6. CHOOSING THE ODD PAIR OF WORD BASED ON IMAGE BASED In this type of classification reasoning, candidates will be given images among which they have to choose the odd one. Learn about Classification of Data Get Pass ProNew All-in-One Pass For All Your Exams Also Includes All Test Series...