Analyzing Trends in the Blogosphere Using Human-Centered Analysis and Visualization Tools
Xavier Llorà, Noriko Imafuji Yasui, Michael Welge, and David E. Goldberg (2006)TR No.: 2006026 | Download PDF | Download PS
Abstract:
The blogsphere is a valuable source of information. From simple topic
analysis in the blogosphere—what’s hot—to harvesting and
analyzing valuable market trends—what product and features are
suggested—require a tight integration of computer- and human-based
analysis capabilities. Computers can easily assist the processing
filtering and visualizing relevant and key elements of the
blogosphere, but coupling them with human evaluation and reasoning
can provide […]
Posted: May 16th, 2006 under Genetic algorithms. Comments: none
Observer-Invariant Histopathology using Genetics-Based Machine Learning
Xavier Llorà, Anusha Priya, and Rohit Bhargava (2006)TR No.: 2006027 | Download PDF | Download PS
Abstract:
Prostate cancer accounts for one-third of noncutaneous cancers
diagnosed in US men, and it is a leading cause of cancer-related
death. Advances in Fourier transform infrared spectroscopy of stained
tissue is now able to provide very large data sets describing the
chemical properties of the cells forming the prostate tissue. Uniting
spectroscopic imaging data and computer-aided diagnoses (CADx), we
seek to […]
Posted: May 12th, 2006 under Genetic algorithms. Comments: none
Delineating Topic and Discussant Transitions in Online Collaborative Environments
Noriko Imafuji Yasui, Xavier Llora, David E. Goldberg, Yuichi Washida and Hiroshi Tamura (2006)TR No.: 2006025 | Download PDF | Download PS
Abstract:
In this paper, we propose some methodologies for delineating topic and discussant transitions in online collaborative
environments, more precisely, focus group discussions for product conceptualization. First, we propose KEE (Key Elements
Extraction) algorithm, an algorithm for simultaneously finding key terms and key persons in a discussion. Based on KEE
algorithm, we propose approaches for analyzing two important factors […]
Posted: May 8th, 2006 under Genetic algorithms. Comments: none
Adaptable Extraction of Key Elements from Weblogs
Noriko Imafuji Yasui, Xavier Llorà, and David E. Goldberg (2006)TR No.: 2006024 | Download PDF | Download PS
Abstract:
This paper proposes AKEE (Adaptable Key Elements Extraction) algorithm for web-log (blog, for short) mining. AKEE enables
us to identify significant information in various blog components (e.g., a blog post, a series of blog posts, a set of
series of blog posts, etc.).
Related PostsKnowledge Extraction and Problem Structure Identification in XCSDelineating Topic and Discussant Transitions in Online […]
Posted: May 4th, 2006 under Genetic algorithms. Comments: none
Human-Centered Analysis and Visualization Tools for the Blogosphere
Xavier Llorà, Noriko Imafuji Yasui, Michael Welge, David E. Goldberg (2006)TR No.: 2006023 | Download PDF | Download PS
Abstract:
Blogging has become a new and disruptive communication medium. Blogs
have changed the way people and organizations express, interact,
and—quite unforeseen—exercise influence. The digital nature of
the blog media provides access to an always-expanding corpus of
information. It would take more than a lifetime to read all the
available blogs necessary to answer questions such as what were the
more relevant […]
Posted: April 24th, 2006 under Genetic algorithms. Comments: none
E2K: Evolution to Knowledge
Xavier Llorà (2006)TR No.: 2006022 | Download PDF | Download PS
Abstract:
Evolution to Knowledge (E2K) is a set of Data to
Knowledge (D2K) modules and itineraries that perform genetic
algorithms (GA) and genetics-based machine learning (GBML) related
tasks. The goal of E2K is to fold: simplify the process of building
GA/GBML related tasks, and provide a simple exploratory workbench for
the evolutionary computation community to help users to interact with
evolutionary processes. […]
Posted: April 20th, 2006 under Genetic algorithms. Comments: none
The χ-ary Extended Compact Classifier System: Linkage Learning in Pittsburgh LCS
Llorà, X., Sastry, K., Goldberg, D.E., de la Ossa, L. (2006)TR No.: 2006015 | Download PDF | Download PS
Abstract:
This paper proposes a competent Pittsburgh LCS that automatically mines important substructures of the underlying problems and takes problems that were intractable with first-generation Pittsburgh LCS and renders them tractable. Specifically, we propose a χ-ary extended compact classifier system (χeCCS) which uses (1) a competent genetic algorithm (GA) in the form […]
Posted: April 16th, 2006 under Genetic algorithms. Comments: none
Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm
Lima, C. F., Pelikan, M., Sastry, K., Butz, M. V., Goldberg, D. E., Lobo, F. G. (2006)TR No.: 2006021 | Download PDF | Download PS
Abstract:
This paper studies the utility of using substructural neighborhoods for local
search in the Bayesian optimization algorithm (BOA). The probabilistic model of BOA, which automatically identifies important problem substructures, is used to define the structure of the neighborhoods used in local search. Additionally, a surrogate fitness model is considered to evaluate the improvement of the local […]
Posted: April 12th, 2006 under Genetic algorithms. Comments: none
Population Sizing for Entropy-based Model Building in Genetic Algorithms
Yu, T.-L., Sastry, K., Goldberg, D. E., Pelikan, M. (2006)TR No.: 2006020 | Download PDF | Download PS
Abstract:
This paper presents a population-sizing model for the entropy-based model building in genetic algorithms. Specifically, the population size required for building an accurate model is investigated. The effect of the selection pressure on population sizing is also incorporated. The proposed model indicates that the population size
required for building an accurate model scales as Θ(m log […]
Posted: April 8th, 2006 under Genetic algorithms. Comments: none
Three Architectures for Continuous Action
Wilson, S. W. (2006)TR No.: 2006019 | Download PDF | Download PS
Abstract:
Three classifier system architectures are introduced that permit
the systems to have continuous (non-discrete) actions. One is based
on interpolation, the second on an actor-critic paradigm, and
the third on treating the action as a continuous variable homogeneous
with the input. While the last architecture appears most interesting
and promising, all three offer potential directions toward
continuous action, a […]
Posted: April 4th, 2006 under Genetic algorithms. Comments: none