Learning from Data: Artificial Intelligence and Statistics V

Capa
Springer Science & Business Media, 2 de mai de 1996 - 450 páginas
Ten years ago Bill Gale of AT&T Bell Laboratories was primary organizer of the first Workshop on Artificial Intelligence and Statistics. In the early days of the Workshop series it seemed clear that researchers in AI and statistics had common interests, though with different emphases, goals, and vocabularies. In learning and model selection, for example, a historical goal of AI to build autonomous agents probably contributed to a focus on parameter-free learning systems, which relied little on an external analyst's assumptions about the data. This seemed at odds with statistical strategy, which stemmed from a view that model selection methods were tools to augment, not replace, the abilities of a human analyst. Thus, statisticians have traditionally spent considerably more time exploiting prior information of the environment to model data and exploratory data analysis methods tailored to their assumptions. In statistics, special emphasis is placed on model checking, making extensive use of residual analysis, because all models are 'wrong', but some are better than others. It is increasingly recognized that AI researchers and/or AI programs can exploit the same kind of statistical strategies to good effect. Often AI researchers and statisticians emphasized different aspects of what in retrospect we might now regard as the same overriding tasks.
 

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Two Algorithms for Inducing Structural Equation Models from Data
3
Using Causal Knowledge to Learn More Useful Decision Rules From Data
13
A Causal Calculus for Statistical Research
23
Likelihoodbased Causal Inference
35
Inference and Decision Making
45
Ploxoma Testbed for Uncertain Inference
47
Solving Influence Diagrams Using Gibbs Sampling
59
Modeling and Monitoring Dynamic Systems by Chain Graphs
69
Searching for Dependencies in Bayesian Classifiers
239
General Learning Issues
249
Statistical Analysis of Complex Systems in Biomedicine
251
Learning in Hybrid Noise Environments Using Statistical Queries
259
On the Statistical Comparison of Inductive Learning Methods
271
Dynamical Selection of Learning Algorithms
281
Learning Bayesian Networks Using Feature Selection
291
Data Representations in Learning
301

Propagation of Gaussian belief functions
79
On Test Selection Strategies for Belief Networks
89
Representing and Solving Asymmetric Decision Problems Using Valuation Networks
99
A HillClimbing Approach for Optimizing Classification Trees
109
Search Control in Model Hunting
119
Learning Bayesian Networks is NPComplete
121
Heuristic Search for Model Structure the Benefits of Restraining Greed
131
Learning Possibilistic Networks from Data
143
Detecting Imperfect Patterns in Event Streams Using Local Search
155
Structure Learning of Bayesian Networks by Hybrid Genetic Algorithms
165
An Axiomatization of Loglinear Models with an Application to the ModelSearch Problem
175
Detecting Complex Dependencies in Categorical Data
185
Classification
197
A Comparative Evaluation of Sequential Feature Selection Algorithms
199
Classification Using Bayes Averaging of Multiple Relational Rulebased Models
207
Picking the Best Expert from a Sequence
219
Hierarchical Clustering of Composite Objects with a Variable Number of Components
229
EDA Tools and Methods
311
Rule Induction as Exploratory Data Analysis
313
NonLinear Dimensionality Reduction A Comparative Performance Analysis
323
OmegaStat An Environment for Implementing Intelligent Modeling Strategies
333
Framework for a Generic Knowledge Discovery Toolkit
343
Control Representation in an EDA Assistant
353
Decision and Regression Tree Induction
363
A Further Comparison of Simplification Methods for DecisionTree Induction
365
Robust Linear Discriminant Trees
375
Tree Structured Interpret able Regression
387
An Exact Probability Metric for Decision Tree Splitting
399
Natural Language Processing
411
Two Applications of Statistical Modelling to Natural Language Processing
413
A Model for PartofSpeech Prediction
423
ViewpointBased Measurement of Semantic Similarity between Words
433
PartofSpeech Tagging from Small Data Sets
443
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