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JMLR
2008
209views more  JMLR 2008»
15 years 7 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
FPGA
2004
ACM
128views FPGA» more  FPGA 2004»
15 years 11 months ago
Incremental physical resynthesis for timing optimization
This paper presents a new approach to timing optimization for FPGA designs, namely incremental physical resynthesis, to answer the challenge of effectively integrating logic and p...
Peter Suaris, Lung-Tien Liu, Yuzheng Ding, Nan-Chi...
ICML
1998
IEEE
16 years 8 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
ICDCS
1999
IEEE
15 years 11 months ago
Search Space Reduction in QoS Routing
To provide real-time service or engineer constrained-based paths, networks require the underlying routing algorithm to be able to find low-cost paths that satisfy given Quality-of...
Liang Guo, Ibrahim Matta
KDD
2010
ACM
282views Data Mining» more  KDD 2010»
15 years 11 months ago
Optimizing debt collections using constrained reinforcement learning
In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections processes at financial institutions. Our...
Naoki Abe, Prem Melville, Cezar Pendus, Chandan K....