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143
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ICML
2008
IEEE
16 years 7 months ago
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...
163
Voted
ICML
2003
IEEE
16 years 7 months ago
Planning in the Presence of Cost Functions Controlled by an Adversary
We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...
H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum
155
Voted
ICCD
2008
IEEE
160views Hardware» more  ICCD 2008»
16 years 27 days ago
An improved micro-architecture for function approximation using piecewise quadratic interpolation
We present a new micro-architecture for evaluating functions based on piecewise quadratic interpolation. The micro-architecture consists mainly of a look-up table and two multiply...
Shai Erez, Guy Even
IPPS
2007
IEEE
16 years 23 days ago
Library Function Selection in Compiling Octave
One way to address the continuing performance problem of high-level domain-specific languages, such as Octave or MATLAB, is to compile them to a relatively lower level language f...
Daniel McFarlin, Arun Chauhan
EUROPAR
2009
Springer
15 years 11 months ago
Two-Dimensional Matrix Partitioning for Parallel Computing on Heterogeneous Processors Based on Their Functional Performance Mod
Abstract. The functional performance model (FPM) of heterogeneous processors has proven to be more realistic than the traditional models because it integrates many important featur...
Alexey L. Lastovetsky, Ravi Reddy