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NN
2010
Springer
125views Neural Networks» more  NN 2010»
15 years 3 months ago
Parameter-exploring policy gradients
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
Frank Sehnke, Christian Osendorfer, Thomas Rü...
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
15 years 2 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
141
Voted
PKDD
2010
Springer
166views Data Mining» more  PKDD 2010»
15 years 2 months ago
A Cluster-Level Semi-supervision Model for Interactive Clustering
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
Avinava Dubey, Indrajit Bhattacharya, Shantanu God...
SEUS
2010
IEEE
15 years 2 months ago
Reactive Clock Synchronization for Wireless Sensor Networks with Asynchronous Wakeup Scheduling
Most of the existing clock synchronization algorithms for wireless sensor networks can be viewed as proactive clock synchronization since they require nodes to periodically synchro...
Sang Hoon Lee, Yunmook Nah, Lynn Choi
TDSC
2010
101views more  TDSC 2010»
15 years 2 months ago
Steward: Scaling Byzantine Fault-Tolerant Replication to Wide Area Networks
—This paper presents the first hierarchical Byzantine fault-tolerant replication architecture suitable to systems that span multiple wide area sites. The architecture confines ...
Yair Amir, Claudiu Danilov, Danny Dolev, Jonathan ...
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