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ICML
1996
IEEE
11 years 9 months ago
Representation Changes for Efficient Learning in Structural Domains
Jean-Daniel Zucker, Jean-Gabriel Ganascia
ICML
1996
IEEE
11 years 9 months ago
Discovering Structure in Multiple Learning Tasks: The TC Algorithm
Recently, there has been an increased interest in "lifelong" machine learning methods, that transfer knowledge across multiple learning tasks. Such methods have repeated...
Sebastian Thrun, Joseph O'Sullivan
ICML
1996
IEEE
11 years 9 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
ICML
1996
IEEE
11 years 9 months ago
Second Tier for Decision Trees
A learner's performance does not rely only on the representation language and on the algorithm inducing a hypothesis in this language. Also the way the induced hypothesis is ...
Miroslav Kubat
ICML
1996
IEEE
12 years 6 months ago
Applying the Multiple Cause Mixture Model to Text Categorization
Mehran Sahami, Marti A. Hearst, Eric Saund
ICML
1996
IEEE
12 years 6 months ago
Representing and Learning Quality-Improving Search Control Knowledge
Generating good, production-quality plans is an essential element in transforming planners from research tools into real-world applications, but one that has been frequently overl...
M. Alicia Pérez
ICML
1996
IEEE
12 years 6 months ago
Unsupervised Learning Using MML
This paper discusses the unsupervised learning problem. An important part of the unsupervised learning problem is determining the numberofconstituent groups (componentsor classes)...
Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wall...
ICML
1996
IEEE
12 years 6 months ago
Searching for Structure in Multiple Streams of Data
Finding structure in multiple streams of data is an important problem. Consider the streams of data owing from a robot's sensors, the monitors in an intensive care unit, or p...
Tim Oates, Paul R. Cohen
ICML
1996
IEEE
12 years 6 months ago
Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning
Research in reinforcementlearning (RL)has thus far concentrated on two optimality criteria: the discounted framework, which has been very well-studied, and the averagereward frame...
Sridhar Mahadevan
ICML
1996
IEEE
12 years 6 months ago
On the Learnability of the Uncomputable
Within Valiant'smodel of learning as formalized by Kearns, we show that computable total predicates for two formallyuncomputable problems the classical Halting Problem, and t...
Richard H. Lathrop
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