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IJCAI
2003
13 years 6 months ago
Integrating Background Knowledge Into Text Classification
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...
Sarah Zelikovitz, Haym Hirsh
IJCAI
2003
13 years 6 months ago
Temporal Reasoning with Preferences and Uncertainty
Temporal Constraint Satisfaction Problems allow for reasoning with events happening over time. Their expressiveness has been extended independently in two directions: to account f...
Neil Yorke-Smith, Kristen Brent Venable, Francesca...
IJCAI
2003
13 years 6 months ago
Qualitative Map Learning Based on Co-visibility of Objects
This paper proposes a unique map learning method for mobile robots based on the co-visibility infor­ mation of objects i.e., the information on whether two objects are visible at...
Takehisa Yairi, Koichi Hori
IJCAI
2003
13 years 6 months ago
Web Page Cleaning for Web Mining through Feature Weighting
Unlike conventional data or text, Web pages typically contain a large amount of information that is not part of the main contents of the pages, e.g., banner ads, navigation bars, ...
Lan Yi, Bing Liu
IJCAI
2003
13 years 6 months ago
Dynamics of Coalition Formation in Combinatorial Trading
This paper studies the dynamics of agent mediated combinatorial trading at the macroscopic level. The combinatorial marketplace consists of a retailer who wishes to sell bundles o...
Yiming Ye, Yuhai Tu
IJCAI
2003
13 years 6 months ago
Domain Event Extraction and Representation with Domain Ontology
With domain ontology, a meaningful index of document indexing, such as the domain events structure in this paper, can be defined. Since the construction of domain ontology is cost...
Shih-Hung Wu, Tzong-Han Tsai, Wen-Lian Hsu
IJCAI
2003
13 years 6 months ago
On the Power of Semantic Partitioning of Web Documents
Guizhen Yang, Saikat Mukherjee, Wenfang Tan, I. V....
IJCAI
2003
13 years 6 months ago
SVMC: Single-Class Classification With Support Vector Machines
Single-Class Classification (SCC) seeks to distinguish one class of data from the universal set of multiple classes. We present a new SCC algorithm that efficiently computes an ac...
Hwanjo Yu
IJCAI
2003
13 years 6 months ago
Backdoors To Typical Case Complexity
There has been significant recent progress in reasoning and constraint processing methods. In areas such as planning and finite model-checking, current solution techniques can h...
Ryan Williams, Carla P. Gomes, Bart Selman
IJCAI
2003
13 years 6 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...