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AAAI
2012
11 years 10 months ago
Discovering Constraints for Inductive Process Modeling
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
Ljupco Todorovski, Will Bridewell, Pat Langley
ML
2012
ACM
388views Machine Learning» more  ML 2012»
12 years 3 months ago
Statistical analysis of kernel-based least-squares density-ratio estimation
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
CADE
2001
Springer
14 years 8 months ago
Context Trees
Context trees are a popular and effective tool for tasks such as compression, sequential prediction, and language modeling. We present an algebraic perspective of context trees for...
Harald Ganzinger, Robert Nieuwenhuis, Pilar Nivela
ISLPED
2003
ACM
138views Hardware» more  ISLPED 2003»
14 years 28 days ago
An environmental energy harvesting framework for sensor networks
Energy constrained systems such as sensor networks can increase their usable lifetimes by extracting energy from their environment. However, environmental energy will typically no...
Aman Kansal, Mani B. Srivastava
TREC
2004
13 years 9 months ago
From the Texts to the Contexts They Contain: A Chain of Linguistic Treatments
The text-mining system we are building deals with the specific problem of identifying the instances of relevant concepts present in the texts. Therefore, our system relies on inte...
Ahmed Amrani, Jérôme Azé, Thom...