HAIS’09: Special session on “Knowledge Extraction based on Evolutionary Learning”

CALL FOR PAPERS
The special session on Knowledge Extraction based on Evolutionary Learning in the 4th Hybrid Artificial Intelligent Systems (HAIS 2009) aims at bringing together researchers in Knowledge Extraction based on Evolutionary Learning to discuss new trends for the research in the field.
This special session intends to be a forum for researchers to […]

CALL FOR PAPERS
The special session on Knowledge Extraction based on Evolutionary Learning in the 4th Hybrid Artificial Intelligent Systems (HAIS 2009) aims at bringing together researchers in Knowledge Extraction based on Evolutionary Learning to discuss new trends for the research in the field.
This special session intends to be a forum for researchers to […]

Genetic-based approach for cue phrase selection in dialogue act recognition

Abstract  Automatic cue phrase selection is a crucial step for designing a dialogue act recognition model using machine learning techniques.
The approaches, currently used, are based on specific type of feature selection approaches, called r…

Abstract  Automatic cue phrase selection is a crucial step for designing a dialogue act recognition model using machine learning techniques.
The approaches, currently used, are based on specific type of feature selection approaches, called ranking approaches. Despite
their computational efficiency for high dimensional domains, they are not optimal with respect to relevance and redundancy.
In this paper we propose a genetic-based approach for cue phrase selection which is, essentially, a variable length genetic
algorithm developed to cope with the high dimensionality of the domain. We evaluate the performance of the proposed approach
against several ranking approaches. Additionally, we assess its performance for the selection of cue phrases enriched by phrase’s
type and phrase’s position. The results provide experimental evidences on the ability of the genetic-based approach to handle
the drawbacks of the ranking approaches and to exploit cue’s type and cue’s position information to improve the selection.
Furthermore, we validate the use of the genetic-based approach for machine learning applications. We use selected sets of
cue phrases for building a dynamic Bayesian networks model for dialogue act recognition. The results show its usefulness for
machine learning applications.

  • Content Type Journal Article
  • DOI 10.1007/s12065-008-0016-6
  • Authors
    • Anwar Ali Yahya, University Putra Malaysia Intelligent System and Robotics Laboratory, Institute of Advanced Technology 43400 UPM Serdang Selangor Malaysia
    • Abd Rahman Ramli, University Putra Malaysia Intelligent System and Robotics Laboratory, Institute of Advanced Technology 43400 UPM Serdang Selangor Malaysia

Dynamic limits for bloat control in genetic programming and a review of past and current bloat theories

Abstract  Bloat is an excess of code growth without a corresponding improvement in fitness. This is a serious problem in Genetic Programming,
often leading to the stagnation of the evolutionary process. Here we provide an extensive review of…

Abstract  Bloat is an excess of code growth without a corresponding improvement in fitness. This is a serious problem in Genetic Programming,
often leading to the stagnation of the evolutionary process. Here we provide an extensive review of all the past and current
theories regarding why bloat occurs. After more than 15 years of intense research, recent work is shedding new light on what
may be the real reasons for the bloat phenomenon. We then introduce Dynamic Limits, our new approach to bloat control. It
implements a dynamic limit that can be raised or lowered, depending on the best solution found so far, and can be applied
either to the depth or size of the programs being evolved. Four problems were used as a benchmark to study the efficiency
of Dynamic Limits. The quality of the results is highly dependent on the type of limit used: depth or size. The depth variants
performed very well across the set of problems studied, achieving similar fitness to the baseline technique while using significantly
smaller trees. Unlike many other methods available so far, Dynamic Limits does not require specific genetic operators, modifications
in fitness evaluation or different selection schemes, nor does it add any parameters to the search process. Furthermore, its
implementation is simple and its efficiency does not rely on the usage of a static upper limit. The results are discussed
in the context of the newest bloat theory.

  • Content Type Journal Article
  • Category Original Paper
  • DOI 10.1007/s10710-008-9075-9
  • Authors
    • Sara Silva, CISUC, University of Coimbra, Polo II – Pinhal de Marrocos 3030-290 Coimbra Portugal
    • Ernesto Costa, CISUC, University of Coimbra, Polo II – Pinhal de Marrocos 3030-290 Coimbra Portugal

Editorial introduction

Editorial introduction
Content Type Journal ArticleCategory EditorialDOI 10.1007/s10710-008-9077-7Authors
Lee Spector, Hampshire College School of Cognitive Science Amherst MA 01002 USA

Journal Genetic Programming and Evolvable MachinesOnline…

Editorial introduction

  • Content Type Journal Article
  • Category Editorial
  • DOI 10.1007/s10710-008-9077-7
  • Authors
    • Lee Spector, Hampshire College School of Cognitive Science Amherst MA 01002 USA

Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis

Abstract  There are several data based methods in the field of artificial intelligence which are nowadays frequently used for analyzing
classification problems in the context of medical applications. As we show in this paper, the application…

Abstract  There are several data based methods in the field of artificial intelligence which are nowadays frequently used for analyzing
classification problems in the context of medical applications. As we show in this paper, the application of enhanced evolutionary
computation techniques to classification problems has the potential to evolve classifiers of even higher quality than those
trained by standard machine learning methods. On the basis of five medical benchmark classification problems taken from the
UCI repository as well as the Melanoma data set (prepared by members of the Department of Dermatology of the Medical University Vienna) we document that the enhanced
genetic programming approach presented here is able to produce comparable or even better results than linear modeling methods,
artificial neural networks, kNN classification, support vector machines and also various genetic programming approaches.

  • Content Type Journal Article
  • Category Original Paper
  • DOI 10.1007/s10710-008-9076-8
  • Authors
    • Stephan M. Winkler, Research Center Hagenberg, Upper Austria University of Applied Sciences Softwarepark 11 4232 Hagenberg Austria
    • Michael Affenzeller, Upper Austria University of Applied Sciences Department of Software Engineering Softwarepark 11 4232 Hagenberg Austria
    • Stefan Wagner, Upper Austria University of Applied Sciences Department of Software Engineering Softwarepark 11 4232 Hagenberg Austria

Prof. Goldberg’s interview by “El Mundo”

Two weeks ago, one of the most important researchers in evolutionary computation visited the GRSI. After 25 years of an intense and extensive research on genetic algorithms, our guest, Prof. David E. Goldberg, focuses his interest on a new field, the entrepreneurship, where he displays his creativity to explore which non-technical skills an […]

Two weeks ago, one of the most important researchers in evolutionary computation visited the GRSI. After 25 years of an intense and extensive research on genetic algorithms, our guest, Prof. David E. Goldberg, focuses his interest on a new field, the entrepreneurship, where he displays his creativity to explore which non-technical skills an […]

Rubén’s and Núria’s tipping point on their way toward completion

 

Today, Núria Macià  and Rubén Nicolàs, two of the most promising PhD students in our lab, have set and explained the basis of the work that will result, with no doubt,  in two fantastic PhD thesis in little time. Please, join me in congratulating both Rubén and Núria as well as their supervisors Elisabet Golobardes and […]

 

Today, Núria Macià  and Rubén Nicolàs, two of the most promising PhD students in our lab, have set and explained the basis of the work that will result, with no doubt,  in two fantastic PhD thesis in little time. Please, join me in congratulating both Rubén and Núria as well as their supervisors Elisabet Golobardes and […]

Congratulations Dr. Giovanni E. Pazienza

Yesterday, Giovanni Pazienza received his PhD degree. The examining committee awarded the thesis and the presentation, entitled Aspects of algorithms and dynamics of cellular paradigms, with an Excellent Cum Laude. They also promised him a brilliant research career for his talent, dynamism, energy, and for many other of his qualities such as… “universality […]

Yesterday, Giovanni Pazienza received his PhD degree. The examining committee awarded the thesis and the presentation, entitled Aspects of algorithms and dynamics of cellular paradigms, with an Excellent Cum Laude. They also promised him a brilliant research career for his talent, dynamism, energy, and for many other of his qualities such as… “universality […]

GECCO-2009: Less than a month until January 14 deadline for paper submission

It’s now less than a month until the deadline for paper submission for GECCO-2009, which will be the first GECCO conference in Canada. The conference will take place in Montreal, Canada on July 8-12, 2009 (Wednesday-Sunday). The deadline for submitting papers to GECCO-2009 is January 14, 2009. The general chair of GECCO-2009 is Franz Rothlauf.
Besides […]


Photo by http://fr.wikipedia.org/wiki/User:Emdx Source http://en.wikipedia.org/wiki/Image:Montreal_PlaceDArmes_Panoramique.jpeg

It’s now less than a month until the deadline for paper submission for GECCO-2009, which will be the first GECCO conference in Canada. The conference will take place in Montreal, Canada on July 8-12, 2009 (Wednesday-Sunday). The deadline for submitting papers to GECCO-2009 is January 14, 2009. The general chair of GECCO-2009 is Franz Rothlauf.

Besides the 40 tutorials, 13 workshops, and several great competitions, GECCO-2009 will feature a number of other events, including student party, social event with dinner and birthday cake, poster session and hors d’oeuvre reception, art exhibition, and 3rd Annual Job Shop.

For more details, check out GECCO-2009 web site. Download the PDF of the GECCO-2009 call for papers here. GECCO banners can be found here.