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» Hedging predictions in machine learning
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ECML
1997
Springer
15 years 8 months ago
Global Data Analysis and the Fragmentation Problem in Decision Tree Induction
We investigate an inherent limitation of top-down decision tree induction in which the continuous partitioning of the instance space progressively lessens the statistical support o...
Ricardo Vilalta, Gunnar Blix, Larry A. Rendell
EDUTAINMENT
2006
Springer
15 years 6 months ago
The ARTable: An AR-Based Tangible User Interface System
Augmented Reality (AR) and Tangible User Interface (TUI) have been proven to provide intuition to human computer interface with richness of a tactile sense. Recent implementations ...
Youngmin Park, Woontack Woo
COLT
2008
Springer
15 years 6 months ago
On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms
Boosting algorithms build highly accurate prediction mechanisms from a collection of lowaccuracy predictors. To do so, they employ the notion of weak-learnability. The starting po...
Shai Shalev-Shwartz, Yoram Singer
CN
2007
129views more  CN 2007»
15 years 4 months ago
Machine-learnt versus analytical models of TCP throughput
We first study the accuracy of two well-known analytical models of the average throughput of long-term TCP flows, namely the so-called SQRT and PFTK models, and show that these ...
Ibtissam El Khayat, Pierre Geurts, Guy Leduc
TIT
2002
164views more  TIT 2002»
15 years 4 months ago
On the generalization of soft margin algorithms
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
John Shawe-Taylor, Nello Cristianini