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ORCIDPeter Drake
Person information
- affiliation: Lewis & Clark College, Portland, OR, USA
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2020 – today
- 2020
[c10]Erik Nilsen, Elizabeth Safran, Peter Drake, Bryan Sebok:
Playing a Serious Game for Earthquake Preparedness: Effects of Resource Richness and Avatar Choice. CHI Extended Abstracts 2020: 1-7
2010 – 2019
- 2018
- [c9]Travis Mandel
, Jens Mache, Richard Weiss, Peter Drake:
Building Out Data Science at Small Colleges: (Abstract Only). SIGCSE 2018: 1081 - 2016
- [j12]Genevieve Orr, Peter Drake, Judith Bayard Cushing:
A brief overview of machine learning with Python: tutorial presentation. J. Comput. Sci. Coll. 32(1): 169-170 (2016) - 2014
- [j11]Peter Drake:
Go: the deepest game. J. Comput. Sci. Coll. 30(1): 113 (2014) - [j10]David P. Bunde, Jens Mache, Peter Drake:
Adding parallel Haskell to the undergraduate programming language course. J. Comput. Sci. Coll. 30(1): 181-189 (2014) - [j9]Jacques Basaldua, Sam Stewart, J. Marcos Moreno-Vega, Peter D. Drake:
Two Online Learning Playout Policies in Monte Carlo Go: An Application of Win/Loss States. IEEE Trans. Comput. Intell. AI Games 6(1): 46-54 (2014) - [c8]Peter Drake, Mark H. Goadrich:
Learn Java in N games (abstract only). SIGCSE 2014: 748 - 2013
- [j8]Peter Drake:
Games, computer science, and education. Comput. Sci. Educ. 23(2): 85-86 (2013) - 2011
- [j7]Peter Drake:
Learn Java in N Games. J. Comput. Sci. Coll. 27(1): 178-179 (2011) - [c7]Peter Drake, Kelvin Sung:
Teaching introductory programming with popular board games. SIGCSE 2011: 619-624 - 2010
- [j6]Hendrik Baier, Peter D. Drake:
The Power of Forgetting: Improving the Last-Good-Reply Policy in Monte Carlo Go. IEEE Trans. Comput. Intell. AI Games 2(4): 303-309 (2010) - [c6]Jessica Mullins, Peter Drake:
Using Human knowledge to Improve Opening Strategy in Computer Go. IC-AI 2010: 730-734 - [c5]Seth Pellegrino, Peter Drake:
Investigating the Effects of Playout Strength in Monte-Carlo Go. IC-AI 2010: 1015-1018
2000 – 2009
- 2009
- [j5]Seth Pellegrino, A. Hubbard, J. Galbraith, Peter Drake, Yung-Pin Chen:
Localizing Search in Monte-Carlo Go using Statistical Covariance. ICGA J. 32(3): 154-160 (2009) - [j4]Peter Drake:
The Last-Good-Reply Policy for Monte-Carlo Go. ICGA J. 32(4): 221-227 (2009) - [c4]John Stogin, Yung-Pin Chen, Peter Drake, Seth Pellegrino:
The Beta Distribution in the UCB Algorithm Applied to Monte-Carlo Go. IC-AI 2009: 521-524 - 2008
- [c3]Peter Drake, Yung-Pin Chen:
Coevolving Partial Strategies for the Game of Go. GEM 2008: 312-318 - 2007
- [c2]Peter Drake, Steve Uurtamo:
Heuristics in Monte Carlo Go. IC-AI 2007: 171-175 - 2006
- [j3]Peter Drake, Nigel Kerr:
Developing a computer strategy game in an undergraduate course in software development using extreme programming. J. Comput. Sci. Coll. 22(2): 39-45 (2006) - [j2]Peter Drake, Genevieve Orr, Judith Bayard Cushing:
Games in the computer science classroom. J. Comput. Sci. Coll. 22(2): 97-98 (2006) - [c1]Peter Drake, Niku Schreiner, Brett Tomlin, Loring Veenstra:
An Efficient Algorithm For Eyespace Classification In Go. IC-AI 2006: 472-478 - 2005
- [j1]Karen Ward, Judith Bayard Cushing, Peter Drake, James D. Fix:
Conducting research with undergraduates. J. Comput. Sci. Coll. 21(1): 199-200 (2005)
Coauthor Index
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