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KDD
2009
ACM
150views Data Mining» more  KDD 2009»
16 years 7 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
HPCA
2005
IEEE
16 years 7 months ago
Effective Instruction Prefetching in Chip Multiprocessors for Modern Commercial Applications
In this paper, we study the instruction cache miss behavior of four modern commercial applications (a database workload, TPC-W, SPECjAppServer2002 and SPECweb99). These applicatio...
Lawrence Spracklen, Yuan Chou, Santosh G. Abraham
SIGMOD
2006
ACM
159views Database» more  SIGMOD 2006»
16 years 7 months ago
Flexible and efficient XML search with complex full-text predicates
Recently, there has been extensive research that generated a wealth of new XML full-text query languages, ranging from simple Boolean search to combining sophisticated proximity a...
Sihem Amer-Yahia, Emiran Curtmola, Alin Deutsch
ICCAD
2001
IEEE
124views Hardware» more  ICCAD 2001»
16 years 3 months ago
Partition-Based Decision Heuristics for Image Computation Using SAT and BDDs
Methods based on Boolean satisfiability (SAT) typically use a Conjunctive Normal Form (CNF) representation of the Boolean formula, and exploit the structure of the given problem ...
Aarti Gupta, Zijiang Yang, Pranav Ashar, Lintao Zh...
PKDD
2009
Springer
169views Data Mining» more  PKDD 2009»
16 years 1 months ago
Hybrid Least-Squares Algorithms for Approximate Policy Evaluation
The goal of approximate policy evaluation is to “best” represent a target value function according to a specific criterion. Temporal difference methods and Bellman residual m...
Jeffrey Johns, Marek Petrik, Sridhar Mahadevan