Sciweavers

1583 search results - page 254 / 317
» Stability of Feature Selection Algorithms
Sort
View
SAC
2005
ACM
15 years 5 months ago
Reinforcement learning agents with primary knowledge designed by analytic hierarchy process
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
Kengo Katayama, Takahiro Koshiishi, Hiroyuki Narih...
ISQED
2007
IEEE
127views Hardware» more  ISQED 2007»
15 years 6 months ago
Sensitivity Based Link Insertion for Variation Tolerant Clock Network Synthesis
Clock distribution is one of the key limiting factors in any high speed, sub-100nm VLSI design. Unwanted clock skews, caused by variation effects like manufacturing variations, po...
Joon-Sung Yang, Anand Rajaram, Ninghy Shi, Jian Ch...
PLDI
2005
ACM
15 years 5 months ago
Scalable statistical bug isolation
We present a statistical debugging algorithm that isolates bugs in programs containing multiple undiagnosed bugs. Earlier statistical algorithms that focus solely on identifying p...
Ben Liblit, Mayur Naik, Alice X. Zheng, Alexander ...
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 8 days ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
15 years 6 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang