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JMLR
2002
138views more  JMLR 2002»
14 years 9 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
JAIR
2010
131views more  JAIR 2010»
14 years 8 months ago
Automatic Induction of Bellman-Error Features for Probabilistic Planning
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
Jia-Hong Wu, Robert Givan
HICSS
2000
IEEE
99views Biometrics» more  HICSS 2000»
15 years 2 months ago
Selecting a Model Interchange Format: The SPOOL Case Study
The aim of this paper is to provide tool developers with effective strategies to minimize the risks, costs, effort and time involved in handling model interchange issues. Specific...
Guy Saint-Denis, Reinhard Schauer, Rudolf K. Kelle...
INFOCOM
2002
IEEE
15 years 2 months ago
Probabilistic Packet Scheduling: Achieving Proportional Share Bandwidth Allocation for TCP Flows
— This paper describes and evaluates a probabilistic packet scheduling (PPS) algorithm for providing different levels of service to TCP flows. With our approach, each router de...
Ming Zhang, Randolph Y. Wang, Larry L. Peterson, A...
JMLR
2010
95views more  JMLR 2010»
14 years 4 months ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov