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» On the discovery of process models from their instances
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PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
15 years 4 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
ADHOC
2008
95views more  ADHOC 2008»
15 years 6 months ago
The polarized gossip protocol for path discovery in MANETs
In this paper we present a novel probabilistic protocol for path discovery in Mobile Ad Hoc Networks (MANETs). The protocol implements what we call a polarized gossiping algorithm...
Roberto Beraldi
BCBGC
2008
15 years 7 months ago
BMA - Boolean Matrices as Model for Motif Kernels
We introduce the data model BM, which specifies kernels of motifs by means of Boolean matrices. Different from position frequency matrices these only specify which bases can appea...
Jan Schröder, Manfred Schimmler, Heiko Schr&o...
140
Voted
ACL
1998
15 years 7 months ago
Experiments with Learning Parsing Heuristics
Any large language processing software relies in its operation on heuristic decisions concerning the strategy of processing. These decisions are usually "hard-wired" int...
Sylvain Delisle, Sylvain Létourneau, Stan M...
JNW
2008
171views more  JNW 2008»
15 years 6 months ago
The Necessity of Semantic Technologies in Grid Discovery
Service discovery and its automation are some of the key features that a large scale, open distributed system must provide so that clients and users may take advantage of shared re...
Serena Pastore