Results 171 to 180 of about 22,146 (217)

Document clustering with prior knowledge

Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, 2006
Document clustering is an important tool for text analysis and is used in many different applications. We propose to incorporate prior knowledge of cluster membership for document cluster analysis and develop a novel semi-supervised document clustering model. The method models a set of documents with weighted graph in which each document is represented
Xiang Ji, Wei Xu 0007
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Prior knowledge on the illumination position

Cognition, 2001
Visual perception is fundamentally ambiguous because an infinite number of three-dimensional scenes are consistent with our retinal images. To circumvent these ambiguities, the visual system uses prior knowledge such as the assumption that light is coming from above our head. The use of such assumptions is rational when these assumptions are related to
P, Mamassian, R, Goutcher
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Prior knowledge and redundant multimedia

2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532), 2002
Multimedia technology allows the redundant combination of numerous presentation formats (text, graphics, sound, video etc). We show that redundancy can both help and hinder the user interaction with the system and that the final outcome depends on the user's 'prior knowledge'.
Frank Vetere, Steve Howard
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Improving Logitboost with prior knowledge

Information Fusion, 2013
The purpose of this study is to incorporate prior knowledge into a boosting algorithm. Existing approaches require additional samples that represent the prior knowledge. Moreover, in order to adjust the balance between the information in training samples and the prior knowledge in the data domain, one needs to repeat the boosting algorithm with a ...
Takafumi Kanamori, Takashi Takenouchi
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Incorporating prior knowledge in ICA

2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628), 2003
We propose the modification of the cost function that is optimised by the independent component analysis (ICA) algorithm, so that prior knowledge about some statistical properties of one of the components is incorporated in the optimisation process, for this component to be identified first.
Christos Papathanassiou, Maria Petrou
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Adapting to Prior Knowledge of Learners

2002
Prior knowledge is an important factor that influences the interaction with a hypertext and the learning gain. Our authoring system NetCoach provides a way to assess the users' prior knowledge and to adapt the course in different ways. We describe how the adaptation mechanism assesses the user's knowledge with test items, infers the user's current ...
Stephan Weibelzahl, Gerhard Weber 0001
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Learning to walk with prior knowledge

2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), 2017
In this work a novel approach to Transfer Learning for the use in Deep Reinforcement Learning is introduced. The agent is realized as an actor-critic framework, namely the Deep Deterministic Policy Gradient algorithm. The Q-function and the policy are represented as deep feed-forward networks, that are trained by minimizing the mean squared Bellman ...
Martin Gottwald, Dominik Meyer, Hao Shen 0002, Klaus Diepold   +3 more
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Online Learning with Prior Knowledge

2007
The standard so-called experts algorithms are methods for utilizing a given set of "experts" to make good choices in a sequential decision-making problem. In the standard setting of experts algorithms, the decision maker chooses repeatedly in the same "state" based on information about how the different experts would have performed if chosen to be ...
Elad Hazan, Nimrod Megiddo
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Commutativity as prior knowledge in fuzzy modeling

Fuzzy Sets and Systems, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pablo Carmona, Juan Luis Castro, Jose Manuel Zurita   +2 more
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Prior knowledge and autonomous learning

Robotics and Autonomous Systems, 1991
Abstract This paper is concerned with the construction of autonomous learning agents, in particular those that use existing knowledge in the pursuit of new learning goals. Inductive learning has often been characterized as a search in a hypothesis space for hypotheses consistent with observations.
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