conftrace_

decision tree

322 papers

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Also known as

DT

Co-occurring keywords

random forest (326) ensemble learning (1274) neural network (6616) support vector machine (978) interpretable machine learning (140) interpretable model (158) model compression (3302) gradient boosting (147) online learning (1777) ensemble method (564)

Papers

Variance Penalizing AdaBoost NIPS 2011
Tree Decomposition for Large-Scale SVM Problems JMLR 2010
A Streaming Parallel Decision Tree Algorithm JMLR 2010
Exploiting the High Predictive Power of Multi-class Subgroups ACML 2010
Mining Recurring Concept Drifts with Limited Labeled Streaming Data ACML 2010
Decision Tree for Dynamic and Uncertain Data Streams ACML 2010
Potential-Based Agnostic Boosting NIPS 2009
Tracking Dynamic Sources of Malicious Activity at Internet Scale NIPS 2009
Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions JMLR 2009
Ranking Categorical Features Using Generalization Properties JMLR 2008
Anytime Induction of Cost-sensitive Trees NIPS 2007
A General Boosting Method and its Application to Learning Ranking Functions for Web Search NIPS 2007
Margin Trees for High-dimensional Classification JMLR 2007
Anytime Learning of Decision Trees JMLR 2007
Handling Missing Values when Applying Classification Models JMLR 2007
Feature Selection Methods for Improving Protein Structure Prediction with Rosetta NIPS 2007
Learning to Detect and Classify Malicious Executables in the Wild JMLR 2006
Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees JMLR 2004
Tree Induction vs. Logistic Regression: A Learning-Curve Analysis JMLR 2003
On the Proper Learning of Axis-Parallel Concepts JMLR 2003
Efficient Algorithms for Decision Tree Cross-validation JMLR 2002
On Using Extended Statistical Queries to Avoid Membership Queries JMLR 2002