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NIPS
1996
15 years 8 months ago
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation
In pattern recognition, statistical modeling, or regression, the amount of data is a critical factor affecting the performance. If the amount of data and computational resources ar...
Patrice Simard, Yann LeCun, John S. Denker, Bernar...
ATAL
2009
Springer
16 years 2 months ago
SarsaLandmark: an algorithm for learning in POMDPs with landmarks
Reinforcement learning algorithms that use eligibility traces, such as Sarsa(λ), have been empirically shown to be effective in learning good estimated-state-based policies in pa...
Michael R. James, Satinder P. Singh
199
Voted
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
16 years 1 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
INFOCOM
2005
IEEE
16 years 1 months ago
On failure detection algorithms in overlay networks
— One of the key reasons overlay networks are seen as an excellent platform for large scale distributed systems is their resilience in the presence of node failures. This resilie...
Shelley Zhuang, Dennis Geels, Ion Stoica, Randy H....
SAC
2004
ACM
16 years 26 days ago
A new algorithm for gap constrained sequence mining
The sequence mining problem consists in finding frequent sequential patterns in a database of time-stamped events. Several application domains require limiting the maximum tempor...
Salvatore Orlando, Raffaele Perego, Claudio Silves...