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ICML
2003
IEEE
14 years 5 months ago
Evolving Strategies for Focused Web Crawling
Judy Johnson, Kostas Tsioutsiouliklis, C. Lee Gile...
ICML
2003
IEEE
14 years 5 months ago
Transductive Learning via Spectral Graph Partitioning
We present a new method for transductive learning, which can be seen as a transductive version of the k nearest-neighbor classifier. Unlike for many other transductive learning me...
Thorsten Joachims
ICML
2003
IEEE
14 years 5 months ago
A Faster Iterative Scaling Algorithm for Conditional Exponential Model
Rong Jin, Rong Yan, Jian Zhang, Alexander G. Haupt...
ICML
2003
IEEE
14 years 5 months ago
Avoiding Bias when Aggregating Relational Data with Degree Disparity
David Jensen, Jennifer Neville, Michael Hay
ICML
2003
IEEE
14 years 5 months ago
Probabilistic Classifiers and the Concepts They Recognize
We investigate algebraic, logical, and geometric properties of concepts recognized by various classes of probabilistic classifiers. For this we introduce a natural hierarchy of pr...
Manfred Jaeger
ICML
2003
IEEE
14 years 5 months ago
Goal-directed Learning to Fly
Learning to fly an aircraft is a complex task that requires the development of control skills and goal achievement strategies. This paper presents a behavioural cloning system tha...
Andrew Isaac, Claude Sammut
ICML
2003
IEEE
14 years 5 months ago
Online Ranking/Collaborative Filtering Using the Perceptron Algorithm
In this paper we present a simple to implement truly online large margin version of the Perceptron ranking (PRank) algorithm, called the OAP-BPM (Online Aggregate Prank-Bayes Poin...
Edward F. Harrington
ICML
2003
IEEE
14 years 5 months ago
Correlated Q-Learning
Amy R. Greenwald, Keith Hall
ICML
2003
IEEE
14 years 5 months ago
Hierarchical Policy Gradient Algorithms
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
Mohammad Ghavamzadeh, Sridhar Mahadevan