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CIKM
2008
Springer
13 years 7 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
AAAI
1994
13 years 7 months ago
Heuristic Harvesting of Information for Case-Based Argument
The BankXX system models the process of perusing and gathering information for argument as a heuristic best-first search for relevant cases, theories, and other domain-specific in...
Edwina L. Rissland, David B. Skalak, M. Timur Frie...
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
14 years 6 months ago
Eigenspace-based anomaly detection in computer systems
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Hisashi Kashima, Tsuyoshi Idé
ECOI
2010
144views more  ECOI 2010»
13 years 4 months ago
Machine reasoning about anomalous sensor data
We describe a semantic data validation tool that is capable of observing incoming real-time sensor data and performing reasoning against a set of rules specific to the scientific d...
Matt Calder, Robert A. Morris, Francesco Peri
ECOWS
2009
Springer
13 years 9 months ago
Service-Based Semantic Search in P2P Systems
—Recently, Semantic Web Services have been increasingly adopted to search, access and manipulate information made available from autonomous and heterogeneous systems interacting ...
Devis Bianchini, Valeria De Antonellis, Michele Me...