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» Processing of Data Streams with Prediction Functions
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NIPS
2007
15 years 4 months ago
Robust Regression with Twinned Gaussian Processes
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
Andrew Naish-Guzman, Sean B. Holden
167
Voted
FPL
2007
Springer
124views Hardware» more  FPL 2007»
15 years 9 months ago
A Quantitative Prediction Model for Hardware/Software Partitioning
An important step in Heterogeneous System Development is Hardware/Software Partitioning. This process involves exploring a huge design space. By using profiling to select hot-spo...
Roel Meeuws, Yana Yankova, Koen Bertels, Georgi Ga...
BMCBI
2008
95views more  BMCBI 2008»
15 years 3 months ago
PURE: A webserver for the prediction of domains in unassigned regions in proteins
Background: Protein domains are the structural and functional units of proteins. The ability to parse proteins into different domains is important for effective classification, un...
Chilamakuri C. S. Reddy, Khader Shameer, Bernard O...
173
Voted
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
15 years 1 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
120
Voted
MLDM
2005
Springer
15 years 9 months ago
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
Christoph F. Eick, Alain Rouhana, Abraham Bagherje...