Sciweavers

265 search results - page 22 / 53
» Learning with Kernels and Logical Representations
Sort
View
GLOBECOM
2008
IEEE
14 years 5 months ago
Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model
Abstract—Over the past few years, wireless sensor networks received tremendous attention for monitoring physical phenomena, such as the temperature field in a given region. Appl...
Paul Honeine, Mehdi Essoloh, Cédric Richard...
WOA
2007
14 years 2 days ago
Declarative representation of curricula models: an LTL- and UML-based approach
Abstract—In this work, we present a constrained-based representation for specifying the goals of “course design”, that we call curricula model, and introduce a graphical lang...
Matteo Baldoni, Cristina Baroglio, Giuseppe Berio,...
AAAI
2008
14 years 1 months ago
Integrating Multiple Learning Components through Markov Logic
This paper addresses the question of how statistical learning algorithms can be integrated into a larger AI system both from a practical engineering perspective and from the persp...
Thomas G. Dietterich, Xinlong Bao
IDA
2005
Springer
14 years 4 months ago
Combining Bayesian Networks with Higher-Order Data Representations
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
Elias Gyftodimos, Peter A. Flach
ICML
1989
IEEE
14 years 3 months ago
Higher-Order and Modal Logic as a Framework for Explanation-Based Generalization
Logic programming provides a uniform framework in which all aspects of explanation-based generalization and learning may be defined and carried out, but first-order Horn logic i...
Scott Dietzen, Frank Pfenning