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» Estimation in covariate-adjusted regression
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ICML
2006
IEEE
16 years 4 days ago
Constructing informative priors using transfer learning
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
Rajat Raina, Andrew Y. Ng, Daphne Koller
STOC
2009
ACM
133views Algorithms» more  STOC 2009»
15 years 12 months ago
Numerical linear algebra in the streaming model
We give near-optimal space bounds in the streaming model for linear algebra problems that include estimation of matrix products, linear regression, low-rank approximation, and app...
Kenneth L. Clarkson, David P. Woodruff
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
15 years 11 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
VLSID
2001
IEEE
132views VLSI» more  VLSID 2001»
15 years 11 months ago
Accurate Power Macro-modeling Techniques for Complex RTL Circuits
This paper presents novel techniques for the cycle-accurate power macro-modeling of complex RTL components. The proposed techniques are based on the observation that RTL component...
Nachiketh R. Potlapally, Michael S. Hsiao, Anand R...
ICCD
2001
IEEE
124views Hardware» more  ICCD 2001»
15 years 8 months ago
High-Level Power Modeling of CPLDs and FPGAs
In this paper, we present a high-level power modeling technique to estimate the power consumption of reconfigurable devices such as complex programmable logic devices (CPLDs) and ...
Li Shang, Niraj K. Jha