#### Filter Results:

- Full text PDF available (19)

#### Publication Year

1993

2016

- This year (0)
- Last 5 years (1)
- Last 10 years (1)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Data Set Used

Learn More

- Ron Kohavi, George H. John
- Artif. Intell.
- 1997

- George H. John, Pat Langley
- UAI
- 1995

When modeling a probability distribution with a Bayesian network, we are faced with the problem of how to handle continuous variÂ ables. Most previous work has either solved the problem byâ€¦ (More)

- George H. John, Ron Kohavi, Karl Pfleger
- ICML
- 1994

Eleventh International Conference, 121-129, Morgan Kaufmann Publishers, San Francisco, CA. Irrelevant Features and the Subset Selection Problem George H. John Computer Science Dept. Stanfordâ€¦ (More)

- George H. John, Pat Langley
- KDD
- 1996

As data warehouses grow to the point where one hundred gigabytes is considered small, the computational efficiency of data-mining algorithms on large databases becomes increasingly important. Using aâ€¦ (More)

- George H. John
- KDD
- 1995

Finding and removing outliers is an important problem in data mining. Errors in large databases can be extremely common, so an important property of a data mining algorithm is robustness with respectâ€¦ (More)

- Ron Kohavi, George H. John, Richard Long, David Manley, Karl Pfleger
- ICTAI
- 1994

We present MLC ++ , a library of C ++ classes and tools for supervised Machine Learning. While MLC ++ provides general learning algorithms that can be used by end users, the main objective is toâ€¦ (More)

- Ron Kohavi, George H. John
- 1998

In the feature subset selection problem a learning algorithm is faced with the problem of selecting a relevant subset of features upon which to focus its attention while ignoring the rest To achieveâ€¦ (More)

- George H. John
- AAAI
- 1994

The most popular delayed reinforcement learning technique, Q-learning (Watkins 1989)) estimates the future reward expected from executing each action in every state. If these estimates are correct,â€¦ (More)

- George H. John
- AISTATS
- 1995

We present a new method for the induction of classiication trees with linear discrimi-nants as the partitioning function at each internal node. This paper presents two main contributions: rst, aâ€¦ (More)

- George H. John, J A Hasler, You Ai He, James R. Halpert
- Archives of biochemistry and biophysics
- 1994

Dog CYP2B11, rat CYP2B1, and rabbit CYP2B5 have been expressed in Escherichia coli from cDNAs modified at the N-terminus (Barnes et al., 1991, Proc. Natl. Acad. Sci. USA 88, 5597-5601). Usingâ€¦ (More)