Diversely designed classes for use by multiple tasks
نویسندگان
چکیده
منابع مشابه
Novel Therapeutics for Multiple Sclerosis Designed by Parasitic Worms
The evolutionary response to endemic infections with parasitic worms (helminth) was the development of a distinct regulatory immune profile arising from the need to encapsulate the helminths while simultaneously repairing tissue damage. According to the old friend's hypothesis, the diminished exposure to these parasites in the developed world has resulted in a dysregulated immune response that ...
متن کاملCleaningAssistant - A Service Robot Designed for Cleaning Tasks
|A new service robot designed for cleaning tasks in home environments is introduced. Robot systems will work directly with people in there areas, thus placing a central importance on making interactions between people and machines as natural as possible. The main focus of this paper is twofold: First, an introduction to the system's design and to an intuitive programming approach which allows t...
متن کاملInversion for multiple parameter classes
Many geophysical data, such as the frequencies of the free oscillations of the Earth, depend on more than one type of model parameter. For inverse problems depending on multiple parameter classes, an iterative solution procedure is introduced in which each parameter class can be treated in the same way. This approach has considerable advantages where a large number of parameters are employed, b...
متن کاملLearners’ Perceptions and Use of Differently Designed Schematic Concept Maps on the Formation of Mental Representations for Different Learning Tasks
Research on the effectiveness of concept maps on learning has long being neglecting three critical issues; i.e., the schematically structured maps, learners’ perceptions of the maps, and the various ways of presenting concept structures. When concepts are associated by logical or causal rather than by subsumption relations, variations in selecting concepts and describing their relations may pre...
متن کاملHeterogeneous Domain Adaptation for Multiple Classes
In this paper, we present an efficient multi-class heterogeneous domain adaptation method, where data from source and target domains are represented by heterogeneous features of different dimensions. Specifically, we propose to reconstruct a sparse feature transformation matrix to map the weight vector of classifiers learned from the source domain to the target domain. We cast this learning tas...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM SIGAda Ada Letters
سال: 2000
ISSN: 1094-3641
DOI: 10.1145/568965.568966