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» A Hilbert Space Embedding for Distributions
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TCS
2008
13 years 7 months ago
Kernel methods for learning languages
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
SDM
2012
SIAM
247views Data Mining» more  SDM 2012»
11 years 10 months ago
Simplex Distributions for Embedding Data Matrices over Time
Early stress recognition is of great relevance in precision plant protection. Pre-symptomatic water stress detection is of particular interest, ultimately helping to meet the chal...
Kristian Kersting, Mirwaes Wahabzada, Christoph R&...
OOPSLA
2005
Springer
14 years 1 months ago
A software product line architecture for distributed real-time and embedded systems: a separation of concerns approach
This paper presents a separation of concerns approach to solve the tangling problem of functional and Quality of Service (QoS) concerns in traditional Component-based Software Eng...
Shih-Hsi Liu
ICML
2003
IEEE
14 years 8 months ago
A Kernel Between Sets of Vectors
In various application domains, including image recognition, it is natural to represent each example as a set of vectors. With a base kernel we can implicitly map these vectors to...
Risi Imre Kondor, Tony Jebara
EEF
2000
13 years 11 months ago
Distributed and Structured Analysis Approaches to Study Large and Complex Systems
Both the logic and the stochastic analysis of discrete-state systems are hindered by the combinatorial growth of the state space underlying a high-level model. In this work, we con...
Gianfranco Ciardo