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ML
2006
ACM
121views Machine Learning» more  ML 2006»
15 years 4 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
IAJIT
2010
177views more  IAJIT 2010»
15 years 3 months ago
Representing Uncertainty in Medical Knowledge: An Interval Based Approach for Binary Fuzzy Relations
: This paper addresses issues involved in representation of causal relationships between medical categories. An interval based approach for medical binary fuzzy relations is propos...
Bassam Haddad, Ahmad Awwad
RAS
2008
139views more  RAS 2008»
15 years 3 months ago
Towards 3D Point cloud based object maps for household environments
This article investigates the problem of acquiring 3D object maps of indoor household environments, in particular kitchens. The objects modeled in these maps include cupboards, ta...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
IWSDS
2010
15 years 2 months ago
D3 Toolkit: A Development Toolkit for Daydreaming Spoken Dialog Systems
Recently various data-driven spoken language technologies have been applied to spoken dialog system development. However, high cost of maintaining the spoken dialog systems is one ...
Donghyeon Lee, Kyungduk Kim, Cheongjae Lee, Junhwi...
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
15 years 2 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone