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PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
13 years 7 months ago
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
Zhao Xu, Kristian Kersting, Thorsten Joachims
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
13 years 7 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish
TCOM
2010
92views more  TCOM 2010»
13 years 7 months ago
Detection of Gaussian constellations in MIMO systems under imperfect CSI
Abstract—This paper considers the problem of Gaussian symbols detection in MIMO systems in the presence of channel estimation errors. Under this framework we develop a computatio...
Ido Nevat, Gareth W. Peters, Jinhong Yuan
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 7 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
ICDCS
2009
IEEE
13 years 6 months ago
Multicast Throughput of Hybrid Wireless Networks Under Gaussian Channel Model
We study the multicast capacity for hybrid wireless networks consisting of ordinary wireless nodes and base stations under Gaussian Channel model, which generalizes both the unica...
Cheng Wang, ShaoJie Tang, Xiang-Yang Li, Changjun ...