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AAAI
1996
15 years 1 months ago
Irrelevance and Conditioning in First-Order Probabilistic Logic
First-order probabilistic logic is a powerful knowledge representation language. Unfortunately, deductive reasoning based on the standard semantics for this logic does not support...
Daphne Koller, Joseph Y. Halpern
ICCBR
2007
Springer
15 years 6 months ago
Failure Analysis for Domain Knowledge Acquisition in a Knowledge-Intensive CBR System
A knowledge-intensive case-based reasoning system has profit of the domain knowledge, together with the case base. Therefore, acquiring new pieces of domain knowledge should impro...
Amélie Cordier, Béatrice Fuchs, Jean...
HIM
1997
Springer
162views Multimedia» more  HIM 1997»
15 years 4 months ago
Probabilistic Logical Information Retrieval for Content, Hypertext, and Database Querying
Classical retrieval models support content-oriented searching for documents using a set of words as data model. However, in hypertext and database applications we want to consider...
Thomas Rölleke, Markus Blömer
ICDM
2009
IEEE
148views Data Mining» more  ICDM 2009»
15 years 6 months ago
Hierarchical Bayesian Models for Collaborative Tagging Systems
—Collaborative tagging systems with user generated content have become a fundamental element of websites such as Delicious, Flickr or CiteULike. By sharing common knowledge, mass...
Markus Bundschus, Shipeng Yu, Volker Tresp, Achim ...
DEBU
2006
138views more  DEBU 2006»
14 years 11 months ago
Avatar Information Extraction System
The AVATAR Information Extraction System (IES) at the IBM Almaden Research Center enables highprecision, rule-based, information extraction from text-documents. Drawing from our e...
T. S. Jayram, Rajasekar Krishnamurthy, Sriram Ragh...