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PRICAI
2000
Springer
15 years 6 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
LREC
2008
253views Education» more  LREC 2008»
15 years 4 months ago
Learning properties of Noun Phrases: from data to functions
The paper presents two experiments of unsupervised classification of Italian noun phrases. The goal of the experiments is to identify the most prominent contextual properties that...
Valeria Quochi, Basilio Calderone
PAKM
2000
15 years 4 months ago
Knowledge Management and New Product Development: Learning from a Software Development Firm
The core of the new product development [NPD] process centers on knowledge creation, utilization and the management of knowledge. This manuscript uses a software firm case to esta...
Abraham B. Shani, James A. Sena
NIPS
1994
15 years 4 months ago
From Data Distributions to Regularization in Invariant Learning
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
Todd K. Leen
ACL
2011
14 years 6 months ago
Learning From Collective Human Behavior to Introduce Diversity in Lexical Choice
We analyze collective discourse, a collective human behavior in content generation, and show that it exhibits diversity, a property of general collective systems. Using extensive ...
Vahed Qazvinian, Dragomir R. Radev