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ICML
1990
IEEE
13 years 9 months ago
An Incremental Method for Finding Multivariate Splits for Decision Trees
Decision trees that are limited to testing a single variable at a node are potentially much larger than trees that allow testing multiple variables at a node. This limitation redu...
Paul E. Utgoff, Carla E. Brodley
ICLP
1992
Springer
13 years 9 months ago
Weighted Decision Trees
: Whiledecision tree compilationis a promisingway tocarry out guard tests e ciently, the methods given in the literature do not take into account either the execution characteristi...
Saumya K. Debray, Sampath Kannan, Mukul Paithane
KDD
1994
ACM
116views Data Mining» more  KDD 1994»
13 years 9 months ago
Exception Dags as Knowledge Structures
: The problem of transforming the knowledge bases of performance systems using induced rules or decision trees into comprehensible knowledgestructures is addressed. A knowledgestru...
Brian R. Gaines
COLT
1998
Springer
13 years 9 months ago
Improved Boosting Algorithms using Confidence-Rated Predictions
Abstract. We describe several improvements to Freund and Schapire's AdaBoost boosting algorithm, particularly in a setting in which hypotheses may assign confidences to each o...
Robert E. Schapire, Yoram Singer
UM
2001
Springer
13 years 9 months ago
Utility-Based Decision Tree Optimization: A Framework for Adaptive Interviewing
Abstract: An emerging practice in e-commerce systems is to conduct interviews with buyers in order to identify their needs. The goal of such an interview is to determine sets of pr...
Markus Stolze, Michael Ströbel
COLT
2001
Springer
13 years 9 months ago
On Using Extended Statistical Queries to Avoid Membership Queries
The Kushilevitz-Mansour (KM) algorithm is an algorithm that finds all the “large” Fourier coefficients of a Boolean function. It is the main tool for learning decision trees ...
Nader H. Bshouty, Vitaly Feldman
BIBM
2009
IEEE
164views Bioinformatics» more  BIBM 2009»
13 years 10 months ago
Differential Predictive Modeling for Racial Disparities in Breast Cancer
The primary objective of disparities research is to model the differences across multiple groups and identify the groups that behave significantly different from each other. Indep...
Indranil Palit, Chandan K. Reddy, Kendra L. Schwar...
ILP
2003
Springer
13 years 10 months ago
A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments
We describe an efficient implementation (MRDTL-2) of the Multi-relational decision tree learning (MRDTL) algorithm [23] which in turn was based on a proposal by Knobbe et al. [19] ...
Anna Atramentov, Hector Leiva, Vasant Honavar
ADC
2003
Springer
153views Database» more  ADC 2003»
13 years 10 months ago
Automated Discovery of Search Interfaces on the Web
Web search engines work well for finding crawlable pages, but not for finding datasets hidden behind Web search forms. We describe a novel technique for detecting search forms, ...
Jared Cope, Nick Craswell, David Hawking
HICSS
2003
IEEE
220views Biometrics» more  HICSS 2003»
13 years 10 months ago
Applications of Hidden Markov Models to Detecting Multi-Stage Network Attacks
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
Dirk Ourston, Sara Matzner, William Stump, Bryan H...