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Incremental learning of collaborative classifier agents with new class
We only use class acquisition to illustrate collaborative learning in this article, ... In the first approach, an agent is informed that some new classes are available.
[ 5cad0ad54ee2d7e7d95dc0f1de193d08725e.pdf - Read/Download File

Ordered incremental training with genetic algorithms
tionary algorithm for incremental learning,13,14 and proposes ordered incremental ... of new attributes/classes for classifiers.13,14 It is developed on the basis of a nor- mal GA. ...... Guan SU, Zhu F. Incremental learning of collaborative classifier agents with new class acquisition: An incremental genetic algorithm approach.
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An Incremental Approach to Genetic-Algorithms-Based Classification
Apr 17, 2010 ... Third, new classes may become possible categories for classification. ... of new attributes being acquired, a classifier agent needs some algorithms to re- ... use of incremental learning by implementing classifier agents in a multiagent ... may collaborate to adapt to the new environment, as shown in. Fig. 1.
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Towards an Indexical Model of Situated Language Comprehension
Apr 9, 2016 ... but it also facilitates novel concept acquisition in interactive agents (? ... collaborative partner's knowledge. .... learns new classifications of perceptual features (color, size, and .... symbol C22 which is a class in the color classifier. ..... described here integrates seamlessly with the incremental learning mod-.
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Incremental Learning using Partial Feedback for Gesture-based - Idsia
the paper is a novel incremental machine learning approach ... swarm classification accuracies for different classes of ges- tures, the use .... a novel algorithm for single and multi-agent multi-class ... information sharing mechanisms for cooperative learning and ..... repeated acquisition of new images for different gestures as.
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Full Proposal - LEAR team
4.2 PhD Thesis 2: incremental learning for visual recognition . ... natural language processing, and information retrieval, to foster collaborative interdisciplinary ... There is also an increasing number of new studies trying to address ...... class). LIG has also recently acquired several machines with GPUs, shared between both ...
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An incremental learning algorithm with confidence estimation for
accommodate new data (and new classes, if applicable) .... incremental learning, as it causes all previously acquired knowledge to be lost, a phenomenon ...
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Learning Grounded Language through Situated Interactive Instruction
(2007) demonstrates a collaborative task learning agent that acquires procedural ... The agent uses these situated examples to acquire new procedural ..... gives it a new label (e.g. create a new class within the color classifier and label it color14 ). We add this extra layer of ..... The agent learning is incremental; acquisition of.
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A Framework for Learning from Distributed Data Using Sufficient
Keywords: Distributed Learning, Sufficient Statistics, Learning Agents, Decision Trees. 1 ... of high throughput data acquisition technologies have made it possible to gather and ... pattern classification applications, h is a classifier (e.g., a decision tree, ... values, where one of the attributes corresponds to a class label and the ...
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Adaptive Communication among Collaborative Agents: Preliminary
May 5, 2003 ... down into three problems; symbol grounding, language learning, ... Additionally, we demonstrate simple classification systems that can provide the ... requires agents to acquire their own symbol-to- .... class of known signals (or else create a new class ..... tion: Fitting template grammars by incremental MDL.
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Evolutionary Intelligent Agents for e-Commerce: Generic - Core
built into e-commerce agents can provide services such as intelligent product filtering and brokering to ... [7] are used to identify the generic classes. ...... S.U. Guan, F. Zhu, Ontology acquisition and exchange of evolutionary product- ... S.U. Guan, F. Zhu, Incremental learning of collaborative classifier agents with new class ...
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Ontology learning: state of the art and open issues | SpringerLink
Mar 24, 2007 ... We propose a new learning-oriented model for ontology ... and services allow software agents in a multi-agent system to better ... Ontology learning enables the acquisition of ontological knowledge with ... a team of distributed users in collaborative ontology development. ..... Incremental ontology learning.
[ j4g22112l7k00833.pdf - Read/Download File

Meta-learning in distributed data mining systems: Issues and
Meta-learning is a technique that seeks to compute higher-level classifiers ... take advantage of newly acquired information that was not previously avail- able when ... The relatively new field of Knowledge Discovery and Data Mining (KDD) has .... and demonstration of a system we call JAM (Java Agents for Meta- Learning).
[ 0fcfd50b220d09d6e1000000.pdf?inViewer=true&disableCoverPage=true&origin=publication_detail - Read/Download File

Print version - Association for the Advancement of Artificial Intelligence
(2007) demonstrates a collaborative task learning agent that acquires procedural ... The agent uses these situated examples to acquire new procedural ..... gives it a new label (e.g. create a new class within the color classifier and label it color14 ). We add this extra layer of ..... The agent learning is incremental; acquisition of.
[ 5883 - Read/Download File

Design of an Online Course on Knowledge-Based AI
KBAI class adopts a design stance towards learning about. AI (Goel 1994). Thus ... test AI agents on visual analogy problems inspired by the. Raven's test. ... KBAI class to the new online KBAI course. ... project-based learning, collaborative learning, and more. .... Cases, (9) Case-Based Reasoning, (10) Incremental Con- .
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Lifelong Machine Learning Systems: Beyond Learning Algorithms
knowledge when learning a new task so as to develop more accurate ... tems approach is needed, taken in the context of an agent that is able to acquire knowledge through learning, retain or ... tion, incremental and continual learning, explanation-based learning .... tion and webpage classification. ..... Collaborative inter-.
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Hierarchical Wireless Multimedia Sensor Networks for Collaborative
Nov 13, 2007 ... collaborative semi-supervised classifier learning algorithm to ... centralized learning strategy, which also needs to acquire samples from ... Although incremental learning is suitable for target classification in ... paradigm, mobile agent (MA) learning paradigm and collaborative hybrid learning paradigm, are.
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Real-time Object Classification and Novelty Detection for
Real-time Object Classification and Novelty Detection for Collaborative Video. Surveillance ... novel, informative examples for efficient incremental learning. .... likely class label ωsj involves learning a partition of the image ..... celerate concept acquisition [4]. ... Khosla. CyberScout: Distributed agents for autonomous recon-.
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Besting the Quiz Master: Crowdsourcing Incremental Classification
Jul 12, 2012 ... taining new features. We introduce a ... A typical machine learning task takes as input a set ... in incremental classification—trivia games—and de- velop a .... quiz bowl's inherent fun makes it easy to acquire .... accepts a per-class mean prior for feature weights ..... for when agents “buzz” during a question.
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From Verbs to Tasks: An Integrated Account of Learning - Deep Blue
encouraged me to contribute more in classes and meetings. As I grew ...... e problem of learning new tasks from human-agent dialog necessitates the integra- .
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