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778views
15 years 3 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
QEST
2008
IEEE
13 years 12 months ago
Quasi-Birth-Death Processes, Tree-Like QBDs, Probabilistic 1-Counter Automata, and Pushdown Systems
We begin by observing that (discrete-time) QuasiBirth-Death Processes (QBDs) are equivalent, in a precise sense, to (discrete-time) probabilistic 1-Counter Automata (p1CAs), and b...
Kousha Etessami, Dominik Wojtczak, Mihalis Yannaka...
ATMOS
2010
183views Optimization» more  ATMOS 2010»
13 years 4 months ago
The Complexity of Integrating Routing Decisions in Public Transportation Models
To model and solve optimization problems arising in public transportation, data about the passengers is necessary and has to be included in the models in any phase of the planning...
Marie Schmidt, Anita Schöbel
EDBT
2008
ACM
122views Database» more  EDBT 2008»
14 years 5 months ago
Semantic peer, here are the neighbors you want!
Peer Data Management Systems (PDMSs) have been introduced as a solution to the problem of large-scale sharing of semantically rich data. A PDMS consists of semantic peers connecte...
Wilma Penzo, Stefano Lodi, Federica Mandreoli, Ric...
MKWI
2008
190views Business» more  MKWI 2008»
13 years 7 months ago
Partial Matchmaking for complex Product and Service Descriptions
: Matchmaking between offers and requests is an essential mechanism in electronic market places. Description Logics have been proposed as a appropriate framework for representing o...
Heiner Stuckenschmidt, Martin Kolb