By Topic

Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on

Date 17-18 May 2012

Filter Results

Displaying Results 1 - 25 of 45
  • 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems [Front cover]

    Publication Year: 2012 , Page(s): c1
    Save to Project icon | Request Permissions | PDF file iconPDF (401 KB)  
    Freely Available from IEEE
  • 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems [title page]

    Publication Year: 2012 , Page(s): i
    Save to Project icon | Request Permissions | PDF file iconPDF (222 KB)  
    Freely Available from IEEE
  • Proceedings of 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems - (IEEE EAIS12) [Copyright notice]

    Publication Year: 2012 , Page(s): ii
    Save to Project icon | Request Permissions | PDF file iconPDF (40 KB)  
    Freely Available from IEEE
  • Preface

    Publication Year: 2012 , Page(s): iii - iv
    Save to Project icon | Request Permissions | PDF file iconPDF (55 KB)  
    Freely Available from IEEE
  • Program committee

    Publication Year: 2012 , Page(s): v
    Save to Project icon | Request Permissions | PDF file iconPDF (27 KB)  
    Freely Available from IEEE
  • Organizing committee

    Publication Year: 2012 , Page(s): vi
    Save to Project icon | Request Permissions | PDF file iconPDF (28 KB)  
    Freely Available from IEEE
  • 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems - Program

    Publication Year: 2012 , Page(s): vii - ix
    Save to Project icon | Request Permissions | PDF file iconPDF (1290 KB)  
    Freely Available from IEEE
  • Table of contents

    Publication Year: 2012 , Page(s): x - xii
    Save to Project icon | Request Permissions | PDF file iconPDF (401 KB)  
    Freely Available from IEEE
  • On-line active learning based on enhanced reliability concepts

    Publication Year: 2012 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (897 KB) |  | HTML iconHTML  

    In this paper, we present a new methodology for conducting active learning in a single-pass on-line learning context, thus reducing the annotation effort for operators by selecting the most informative samples, i.e. those ones helping incremental, evolving classifiers most to improve their own predictive performance. Our approach will be based on certainty-based sample selection in connection with... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A property of learning chunk data using incremental kernel principal component analysis

    Publication Year: 2012 , Page(s): 7 - 10
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (568 KB) |  | HTML iconHTML  

    An incremental learning algorithm of Kernel Principal Component Analysis (KPCA) called Chunk Incremental KPCA (CIKPCA) has been proposed for online feature extraction in pattern recognition. CIKPCA can reduce the number of times to solve the eigenvalue problem compared with the conventional incremental KPCA when a small number of data are simultaneously given as a stream of data chunks. However, o... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Self-adaptive mechanism for distributed computing

    Publication Year: 2012 , Page(s): 11 - 16
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1274 KB) |  | HTML iconHTML  

    This paper proposes a framework for adapting software components for a disaggregated system, which dynamically composes devices, e.g., displays, keyboard, and mice, which do not attached to the same computer into a virtual computer over a distributed system, including ubiquitous/pervasive computing systems. It introduces the notions of differentiation and dedifferentiation in cellular slime molds ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Online learning with kernels in classification and regression

    Publication Year: 2012 , Page(s): 17 - 22
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (645 KB) |  | HTML iconHTML  

    New optimization models and algorithms for online learning with kernels (OLK) in classification and regression are proposed in a Reproducing Kernel Hilbert Space (RKHS) by solving a constrained optimization model. The “forgetting” factor in the model makes it possible that the memory requirement of the algorithm can be bounded as the learning process continues. The applications of th... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An enhanced approach for evolving participatory learning fuzzy modeling

    Publication Year: 2012 , Page(s): 23 - 28
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (424 KB) |  | HTML iconHTML  

    Evolving participatory learning (ePL) modeling joins the concepts of participatory learning and evolving fuzzy systems. It uses data streams to continuously adapt the structure and functionality of fuzzy models. This paper proposes an enhanced version of the ePL approach, called ePL+, which includes both an utility measure as a mechanism to shrink rule bases, and a variable zone of influence of cl... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Adaptive evolution strategy for robotic manipulation

    Publication Year: 2012 , Page(s): 29 - 34
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (867 KB) |  | HTML iconHTML  

    Teaching a mobile robot to complete a task and to reproduce it is possible, but as the robot tries to replicate actions natural events as a wheel-slide would feed in inaccuracies on the localization of the robot mobile base, and it may be difficult to succeed replicating. Robot tasks can be represented as trajectories compound by a series of poses and movements. We propose an algorithm for adaptin... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Elastic adaptive ontology matching on evolving folksonomy driven environment

    Publication Year: 2012 , Page(s): 35 - 40
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (679 KB) |  | HTML iconHTML  

    Semantic networks can simulate the human complex frames in reasoning process providing efficient association and inference mechanisms. Ontology can be used to fill the gap between human and computational intelligence for a task domain. For an evolving environment it is important to understand what knowledge is required for a task domain with an adaptive ontology matching. To reflect the evolving k... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Cognitively inspired classification for adapting to data distribution changes

    Publication Year: 2012 , Page(s): 41 - 46
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1065 KB) |  | HTML iconHTML  

    In pattern classification, the test data is expected to lie in the domain covered by the training data. But in practical scenarios, this may not necessarily be true. To improve the adaptability, the classifier should be able to generalize well even when there are changes in the input distribution. This paper proposes a cognitively inspired classification framework based on rules and exemplars. It ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A new fuzzy adaptive law with leakage

    Publication Year: 2012 , Page(s): 47 - 50
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (733 KB) |  | HTML iconHTML  

    In this paper a novel adaptive law with leakage is presented. It is shown in the paper that the proposed adaptive law is a natural way to cope with the parasitic dynamics. Moreover, the value of the leakage parameter σ́ is directly related to the norm of the parasitic dynamics. This is the unique property of the proposed adaptive law since this is not the case when using σ-mod... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An adaptive soft-sensor for non-destructive cement-based material testing, through the use of RBF networks

    Publication Year: 2012 , Page(s): 51 - 56
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1202 KB) |  | HTML iconHTML  

    This paper presents the development of a soft-sensor receiving as inputs Pressure Stimulated Current (PSC) characteristics in order to predict a critical mechanical property of cement-based materials, in a non-destructive manner. The soft-sensor is based on a Radial Basis Function (RBF) network that starts with an empty hidden layer and evolves its structure and synaptic weights as new data become... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A procedural Long Term Memory for cognitive robotics

    Publication Year: 2012 , Page(s): 57 - 62
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (956 KB) |  | HTML iconHTML  

    This paper provides some insights into the advantages of using a Long-Term Memory (LTM) for optimizing the adaptive learning capabilities of a cognitive robot in dynamic environments. Specifically, a procedural LTM that stores basic models and behaviours is included in the evolutionary-based Multilevel Darwinist Brain (MDB) cognitive architecture. The memory system is based on learning error stabi... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Adaptive strategy for online gait learning evaluated on the polymorphic robotic LocoKit

    Publication Year: 2012 , Page(s): 63 - 68
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1065 KB) |  | HTML iconHTML  

    This paper presents experiments with a morphology-independent, life-long strategy for online learning of locomotion gaits, performed on a quadruped robot constructed from the LocoKit modular robot. The learning strategy applies a stochastic optimization algorithm to optimize eight open parameters of a central pattern generator based gait implementation. We observe that the strategy converges in ro... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Platform for building large-scale agent-based systems

    Publication Year: 2012 , Page(s): 69 - 73
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (602 KB) |  | HTML iconHTML  

    This paper presents an agent platform called PANGEA (Platform for Automatic construction of orGanizations of intElligent Agents). This platform allows to developed multiagent systems modeled as Virtual Organizations. The concepts of roles, organizations and norms are fully supported by the platform assuring flexibility and scalability. Moreover, a communication protocol based on IRC gives high per... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • On path planning: Adaptation to the environment using Fast Marching

    Publication Year: 2012 , Page(s): 74 - 79
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1783 KB) |  | HTML iconHTML  

    This paper presents a novel methodology for fast path planning based on an offline predefined skeleton of the environment by means of the Fast Marching Square method. The FM2 skeleton concept is introduced whose intuition is a set which contains the shortest paths (in terms of time) of a given environment This way, the path planning algorithm is adapted to the environment where a robot ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A kinodynamic planning-learning algorithm for complex robot motor control

    Publication Year: 2012 , Page(s): 80 - 83
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1114 KB) |  | HTML iconHTML  

    Robot motor control learning is currently one of the most active research areas in robotics. Many learning techniques have been developed for relatively simple problems. However, very few of them have direct applicability in complex robotic systems without assuming prior knowledge about the task, mainly due to three facts. Firstly, they scale badly to continues and high dimensional problems. Secon... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An adaptive energy-aware routing protocol for MANETs using the SARSA reinforcement learning algorithm

    Publication Year: 2012 , Page(s): 84 - 89
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1050 KB) |  | HTML iconHTML  

    In MANETs (Mobile Ad-hoc NETworks), communicating nodes are powered by batteries which could not be re-charged in many practical usage scenarios. Hence, maximizing network lifetime is a critical optimization objective in routing protocols design for MANETs. To meet this objective, energy-consumption should be balanced among all mobile nodes. In this paper, we formulate the energy-aware route disco... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Autonomous visual self-localization in completely unknown environment

    Publication Year: 2012 , Page(s): 90 - 95
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1269 KB) |  | HTML iconHTML  

    In this paper, a novel approach to visual self-localization in an unknown environment is presented. The proposed method makes possible the recognition of new landmark without using GPS or any other communication links or pre-training. An image-based self-localization technique is used to automatically label landmarks that are detected in real-time using a computationally efficient and recursive al... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.