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ML
2006
ACM
122views Machine Learning» more  ML 2006»
13 years 8 months ago
PRL: A probabilistic relational language
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Lise Getoor, John Grant
ENTCS
2006
146views more  ENTCS 2006»
13 years 8 months ago
Relating State-Based and Process-Based Concurrency through Linear Logic
This paper has the purpose of reviewing some of the established relationships between logic and concurrency, and of exploring new ones. Concurrent and distributed systems are noto...
Iliano Cervesato, Andre Scedrov
KRDB
2003
111views Database» more  KRDB 2003»
13 years 10 months ago
A Framework for Answering Queries using Multiple Representation and Inference Techniques
The Polylog framework is designed to provide a language for efficiently automating complex queries of information represented in multiple formats. A Polylog program contains a set...
Nicholas L. Cassimatis
CORR
2011
Springer
174views Education» more  CORR 2011»
13 years 9 days ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
ICRA
2002
IEEE
161views Robotics» more  ICRA 2002»
14 years 1 months ago
A Method for Co-Evolving Morphology and Walking Pattern of Biped Humanoid Robot
— In this paper, we present a method for co-evolving structures and controller of biped walking robots. Currently, biped walking humanoid robots are designed manually on trial-an...
Ken Endo, Fuminori Yamasaki, Takashi Maeno, Hiroak...