]> 2012-02-10T08:55:08-05:00 Adrian Silvescu Adrian Adrian Silvescu Silvescu Information Integration from Semantically Heterogeneous Biological Data Sources Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources Knowledge Acquisition from Autonomous, Distributed, Semantically Heterogeneous Data Sources INDUS: A System for Information Integration and Knowledge Acquisition from Autonomous, Distributed, and Semantically Heterogeneous Data Sources Incremental and Distributed Learning with Support Vector Machines Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification TRIPPER: Rule Learning Using Taxonomies Discriminatively Trained Markov Model for Sequence Classification Multinomial Event Model Based Abstraction for Sequence and Text Classification Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees Information Extraction and Integration from Heterogeneous, Distributed, Autonomous Information Sources : A Federated Ontology-Driven Query-Centric Approach Learning Decision Trees form Distributed Heterogeneous Autonomous Data Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources Fuzzy Modeling of Conceptual Spaces Jie Bao Foaf:knows Has author Has identifier Foaf:surname Foaf:name Foaf:firstName Anonymous.png Foaf:depiction Person