Sciweavers

824 search results - page 80 / 165
» Learning probabilistic logic models from probabilistic examp...
Sort
View
AI
2002
Springer
15 years 3 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
144
Voted
CORR
2006
Springer
104views Education» more  CORR 2006»
15 years 4 months ago
Modeling Adversaries in a Logic for Security Protocol Analysis
Logics for security protocol analysis require the formalization of an adversary model that specifies the capabilities of adversaries. A common model is the Dolev-Yao model, which c...
Joseph Y. Halpern, Riccardo Pucella
JELIA
2004
Springer
15 years 9 months ago
Reasoning About Quantum Systems
Abstract. A new logic is proposed for reasoning about quantum systems. The logic embodies the postulates of quantum physics and it was designed from the semantics upwards by identi...
Paulo Mateus, Amílcar Sernadas
ICTAI
2007
IEEE
15 years 10 months ago
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
Yunsong Guo, Bart Selman
IROS
2007
IEEE
171views Robotics» more  IROS 2007»
15 years 10 months ago
Learning full-body motions from monocular vision: dynamic imitation in a humanoid robot
— In an effort to ease the burden of programming motor commands for humanoid robots, a computer vision technique is developed for converting a monocular video sequence of human p...
Jeffrey B. Cole, David B. Grimes, Rajesh P. N. Rao