Sciweavers

115
Voted
ICML
2002
IEEE
16 years 3 months ago
Non-Disjoint Discretization for Naive-Bayes Classifiers
Previous discretization techniques have discretized numeric attributes into disjoint intervals. We argue that this is neither necessary nor appropriate for naive-Bayes classifiers...
Ying Yang, Geoffrey I. Webb
117
Voted
ICML
2002
IEEE
16 years 3 months ago
Randomized Variable Elimination
David J. Stracuzzi, Paul E. Utgoff
89
Voted
ICML
2002
IEEE
16 years 3 months ago
Discriminative Feature Selection via Multiclass Variable Memory Markov Model
Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tis...
129
Voted
ICML
2002
IEEE
16 years 3 months ago
Syllables and other String Kernel Extensions
During the last years, the use of string kernels that compare documents has been shown to achieve good results on text classification problems. In this paper we introduce the appl...
Craig Saunders, Hauke Tschach, John Shawe-Taylor
120
Voted
ICML
2002
IEEE
16 years 3 months ago
Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation
David A. McAllester, János A. Csirik, Micha...
102
Voted
ICML
2002
IEEE
16 years 3 months ago
Learning from Scarce Experience
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
Leonid Peshkin, Christian R. Shelton
101
Voted
ICML
2002
IEEE
16 years 3 months ago
Adaptive View Validation: A First Step Towards Automatic View Detection
Multi-view algorithms reduce the amount of required training data by partitioning the domain features into separate subsets or views that are sufficient to learn the target concep...
Ion Muslea, Steven Minton, Craig A. Knoblock
126
Voted
ICML
2002
IEEE
16 years 3 months ago
Active + Semi-supervised Learning = Robust Multi-View Learning
In a multi-view problem, the features of the domain can be partitioned into disjoint subsets (views) that are sufficient to learn the target concept. Semi-supervised, multi-view a...
Ion Muslea, Steven Minton, Craig A. Knoblock